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In the realm where artificial intelligence (AI), cloud computing, and data management converge, a host of challenges and promises are reshaping the landscape of modern businesses. Central to these discussions is the critical importance of data quality. Experts unanimously agree that a robust data governance framework is fundamental, ensuring that valuable insights for decision-making are derived from accurate and well-curated data. Yet, amidst the rise of AI, human supervision remains indispensable, as automated models should not entirely replace the understanding and intuition that human analysts bring to the table when facing complex business decisions. When harnessed effectively, AI can significantly enhance the outcomes, predictions and insights derived from vast datasets. However, concerns regarding the irresponsible use of AI have recently arisen, given that a faulty AI adoption often leads to operational downtimes or misguided insights that can negatively affect businesses’ continuity, profitability, and reputation. Tech industry leaders addressed these complex issues during the first edition of Mexico AI Cloud and Data Summit 2023. Multiple IT specialists highlighted the benefits of applying data-driven analysis to enhance decision-making within businesses, underscoring the essential role AI and data centers are currently playing in driving innovation forward. For most of them, businesses adopting these emerging technologies into their operations will inevitably become the leaders of their industry.
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C o n fe r e n ce I mpact
184
6
35
companies
sponsors
speakers
258
1,311
1st
conference participants
visitors to the conference website
Edition
Breakdown by job title Conference social media impact
36% Director/Manager/ Partner 32% CTO/CIO/CDO/CISO 32% CEO/Founder/ GM/VP
3,684 direct impressions during MAICDS
Pre-conference social media impact 110,805 direct pre-conference LinkedIn impressions
3.01% click through rate during MAICDS
2.53% pre-conference click through rate
6.42% conference engagement rate
2.84% pre-conference engagement rate
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86
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Matchmaking intentions
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matchmaking communications
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1:1 meetings conducted
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C o mpa n y Atte n da n ce •
Grupo Lattice
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Easytrip México
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99 minutos
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Ecovis México
•
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Actinver
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Edelman
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Italika
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AES
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Elektra
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Ituran
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AKAMAI
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Enermex
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JAAK
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ALCON
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Enso Fintech
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Jaak
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Alldatum
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Epicurus
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Jüsto
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Ammper Energía
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Ericsson México
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Kelly México
•
Angel Ventures
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Eureka & Co
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Klar
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Appian
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Exitus Capital
•
Knowsy AI
IT Innovation & technology, S.A de C.V.
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ARROW
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Ey
•
Konfío
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Asociacion de internet MX
•
Facultad de ingeniería UNAM
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KPMG
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AT&T Mexico
•
Fibra UNO
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Kubo Financiero
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Atalait
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Finsus
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La Comer
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BanBajío
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Frenkel Engineering
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La Moderna
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Banco Azteca
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Frialsa Frigorificos
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Laureate International
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Banco Bradesco
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Frisa Forjados
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Banco del Crédito del Perú
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Fundary
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Lenovo
•
Banorte Seguros Y Pensiones
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General Motors Mexico
•
Logicalis Latam
•
Banregio
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Genesys
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Lurica
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Bayer
•
GFI
•
MABE
•
BAZ SúperApP
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GIDCOMP
•
Manpower
•
BBVA
•
Global Institute for Digital
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Más Descuentos
•
Boletia
Competitiveness
•
Mercado Libre
•
Bupa México
•
Grupo Altex
•
MetLife
•
CAAAREM
•
Grupo CICE
•
Métricas
•
Caja De Ahorro De
•
Grupo Mexico
•
MEXDC
Los Telefonistas S.C.
•
Grupo Nu3
•
Mexican Chamber of
Universities
A.P. De R.L. C.V.
•
Grupo Salinas
•
Cápsula
•
Grupo Traxa
•
Mexico Telecom Partners
•
Casa de Bolsa Finamex
•
GS1 México
•
MUFG Banco
•
Catenon
•
HDI SEGUROS
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Murguia Consultores
•
Cattri
•
Hino Motors
•
Nadro
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CENACE
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Hitachi Energy
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NOVAX
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Círculo de Crédito
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Hitachi Vantara
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NTT Data
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Citibanamex
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Homie
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Nutanix
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Clara
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Honeywell Technology
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Oficina Comercial De
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CODECO
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Collecta Global
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Hospital Moscati
•
Parco App
•
Conecta
•
I-Track Systems
•
Peñaranda
•
Consubanco Institución
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IACNA
•
Pernod Ricard
De Banca Múltiple
•
ICONN
•
Pimlico Parks
•
Coppel
•
IDCA
•
Prime Communications Mx
•
Crabi
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Incrase Visibility Mexico
•
PROSA
•
Cyber-T
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Industrial Aceitera
•
Provident México
•
Danone
•
INE
•
Quartux
•
Decision Point LATAM
•
INEEL
•
Quo Digital
•
Desarrolladora del
•
Instituto Federal de
•
Rackspace Technology
Commerce in Hong Kong
Solutions Mexico
Israel En México
Telecomunicaciones
•
Rankmi
•
Dinamic
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Interprotección
•
Robert Walters
•
DyLo Dynamic Logistics
•
IPAB
•
Roshfrans
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DynamiCore
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Isuzu
•
SaborMex
Parque, SA de CV
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C o mpa n y Atte n da n ce •
Sayvu
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WiWi
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Syneff Consult
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Servicios Administrativos
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WOMCY
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Syngenta
Peñoles
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Zabbix
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Tecnatom
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Shasa
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Zendala
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The Adecco Group
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Siemens Gamesa
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Pragmatec
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The Uncommon Lab
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SmartPlus
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Prana Power
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TIBA
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Snowball.MX
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Pretmex
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TIP
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Stragia Sales Science
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Prosegur Security México
•
TMF Group
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Suspension y Direccion
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QbD México
•
Tolko Group
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Swissport
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Quartux
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Top Management Mexico
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Swiwws Business Hub Mexico
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RAMA MANTENIMIENTO
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TRANSPLACE
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SYD
INDUSTRIAL TOTAL
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Trebol Capital
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SYM SERVICIOS
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Rappi
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Tridi, Manufactura Aditiva
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T7 International Group
•
Rappi Pay
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Truora
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Tata Consulting Group
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REFLY
•
Truper
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Techni-Soft
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RelyOn Nutec
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TSystems
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Tecnologia Orientada
•
RER Energy Group
•
Uala
al Servicio
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Rising Farms
•
UK Department for
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Televisa Univision
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RM Pharma Specialists
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Terapify
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Rockwell Automation
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Texas European Chamber
•
S2G Energy
of Commerce
•
SAFELINK
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U-Storage
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Tokio Marine
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Salud Facil
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Vaisala
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TOSSA
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San Luis Potosi City Council
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Veeam
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Tradeon Energy
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SAP
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Vera & Asociados
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Trully
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Sartorius
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Vexi. Tarjeta de Crédito
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U.S Embassy
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Scania
•
Visa
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Ualá
•
Servicio Geológico Mexicano
•
Von Wobeser y Sierra
•
Udemy
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Siebtechnik Tema
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VOPAK
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UNIDESARROLLO
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Skyhaus
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VTEX
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UNIFIN
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SocialDiabetes
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Walmart
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Universidad La Salle
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Someone Somewhere
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Walworth
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UP
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Speyside Group
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Wartsila
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UTIMACO
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Spinto
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Within3
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Vector Casa de Bolsa
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STORI
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Wizlynx Group
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Von Wobeser y Sierra
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Stripe
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WorldWise Coaching
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Walmart de Mexico
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Sulmara Mexico
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Yalo
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We Are The Robots
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Swap
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Yokogawa de México
International Trade •
Union de Crédito del Soconusco
7
P r o g r am D ay 1
09:25
WELCOME TO MEXICO AI, CLOUD & DATA SUMMIT 2023
09:30
SOLVING CLEANUP AND INTEGRATION CHALLENGES FOR DATA-DRIVEN SUCCESS
Moderator: Esther Riveroll Ponce de León, Alldatum Business Panelists: Luis Pintado, Interprotección Salvador Hernández, Frisa Forjados Ana Coronel, BanBajío 10:15
WELCOME TO THE ERA OF ASSISTANCE
Speaker: Aarón Castellanos, Rackspace Technology 10:45
NETWORKING COFFEE BREAK
11:45
FUELING AI INSIGHTS IN MEXICO: DATA LAKES AND CLOUD WAREHOUSES
Moderator: Itzul Girón, Knowsy AI Panelists: Roberto Juárez, Nutanix José Carlos Huescas, Lenovo Diego Sánchez, Mabe 12:30
DATA CENTER RESILIENCE, SAFEGUARDING BUSINESS CONTINUITY
Moderator: Dario García, ManpowerGroup LATAM Panelists: Josué Ramírez, IDCA Oscar García, SmartPlus Rogelio García , Grupo Salinas Benjamín Aguillón, MEXDC 13:30
NETWORKING LUNCH
15:00
ADVANCING IOT ANALYTICS THROUGH EDGE-CLOUD SYNERGY
Moderator: Juan Carlos Montero, NTT Data Panelists: Ignacio Madrid, Citibanamex Sebastián Carmona, Honeywell Technology Solutions Mexico Gabriel Fernández, AT&T México Óscar Parra, Genesys 16:00
STRIVING TOWARDS MATURITY: MEXICO’S DIGITAL LANDSCAPE
Speaker: Itzul Girón, Mexican Internet Association
8
P RO G R A M D AY 2
08:55
WELCOME TO MEXICO AI, CLOUD & DATA SUMMIT 2023
09:00
DIGGING DEEPER WITH TECHNOLOGY-DRIVEN DATA MINING
Moderator: Juan Manuel Andrade, Banco Azteca Panelists: Dante Téllez, Kubo Financiero Rodrigo Murillo, Círculo de Crédito Juan Carlos Balboa, Vector Casa de Bolsa Francisco Viana, Danone 10:00
INNOVATION AND TECHNOLOGY IN THE BUSINESS DNA
Speaker: Ricardo Álvarez, Grupo Coppel 10:30
NETWORKING COFFEE BREAK
11:30
CONNECTING MEXICO BUSINESS: 5G, CLOUD AND EDGE
Speaker: Fabián Monge, Ericsson México 12:00
EMBRACING OPEN SOURCE FOR SEAMLESS INTEGRATION
Moderator: Felipe Mundaca, Rankmi Panelists: Facundo Chambó, Homie Rafael Verduzco, Zendala Juan Arturo Dueñas, General Motors Mexico 13:00
THE AI HORIZON: MAPPING YOUR INTEGRATION STRATEGY
Moderator: Marco Antonio Hernández, PROSA Panelists: Diego Halffter, Jüsto Ignacio Madrid, Citibanamex Pablo Guzzi, Ualá Alfredo Pequeño, BanRegio 14:00
END OF MEXICO BUSINESS AI, CLOUD & DATA SUMMIT 2023
9
C o n fe r e n ce H ighlights
SOLVING CLEANUP & INTEGRATION CHALLENGES FOR DATA DRIVEN SUCCESS In an emerging digital economy, data is
However, before companies can hope to
celebrated as the foundation of success. The
realize these objectives, companies need
transfer of knowledge from experienced
to understand that the quality of data is an
individuals to algorithms has made data
important qualifier. Whether for advanced
models more reliable. Experts are now
analytics or predictive analytics, data quality
contemplating how data cleanup,
is a fundamental component to an effective
standardization, and integration efforts can
data strategy. According to Luis Pintado,
enhance data-driven decision-making and
CTO, I nte rp rote cció n , “ th e insura n ce
actionable insights for business leaders.
industry is undergoing a significant shift f ro m re lying o n ins tin c t to e ng aging
“Knowledge that was once held by
directly with consumers through digital
individuals with decades of experience
channels. This transition has prompted a
has been transferred to algorithms in
need for more data-driven strategies.”
the form of data inputs, making business models more reliable”
Salvador Hernández CDO | Frisa Forjados
Despite ambitions to become more datadriven, use cases often remain isolated, according to Ana Coronel, Data Science V ice P re si d e nt , B a n B a j ío . To exp a n d them, it is essential to not only focus on data quality but also consider when and
A Denodo study, as previously reported by
how data will be used to avoid wasting
MBN, uncovered a striking reality: only 54% of
time cleaning data. She also considered
Mexican companies effectively harness their
comprehensive data governance, from
data resources, emphasizing the urgent need
inception to exploitation, to be vital to
for streamlined data solutions. Surprisingly,
strategy formation. Without procuring
while 90% of companies are in the midst of
t h e s e e ff o r t s f ro m t h e b e g i n n i n g o f
their data-driven transformation, just half are
s t r a te g y f o r m a t i o n , c o m p a n i e s ’ r i s k
actively using data for informed decision-
undermining their ability to monetize
making, and 12% have not yet embarked on
their data.
this journey. The study also reveals diverse objectives among surveyed organizations,
“Data quality is paramount to building any
including improving operational efficiency,
data model, be it for advanced analytics
gaining a competitive edge, reducing errors,
o r p re dic tive in sig ht s . We a ll h ave a
and minimizing operational costs.
role in the lifecycle of data, and even a
10
C o n fe r e n ce H ighlights minor error, like an incorrectly written tax
Pintado. Nevertheless, no process should
identification number (RFC), can have far-
be left to automated models in its entirety.
reaching consequences,” said Coronel.
Human supervision will continue to be an integral part of data analysis, emphasized
Experts also shared how hyper-segmentation
Hernández.
of data is vital for enhanced personalization, a capacity that has applications across
The application of emerging technologies
industry segments. However, disorganized
in data analysis becomes relevant before
and poor data integration could lead to
a global shortage of qualified talent to
skewed investments in digital advertising,
clean, analyze and oversee data strategies.
ineffective conversion rates, and challenges
Moreover, continuous personnel turn-over
in targeting the desired audience. Herein
can undermine the continuity and the
l i e s p r o d u c t i ve c a p a c i t y o ff e r e d by
viability of data initiatives. These issues
disruptive te ch n olo gies like m a chin e
pose a significant challenge to the medium
learning, which could potentially expedite
and long-term data maturity of companies.
data clean-up and standardization, says
WELCOME TO THE ERA OF ASSISTANCE Th e exp o n e ntia l g row th of d at a h a s
approach that locates the security of the
s i g n i fi c a n t l y b r o a d e n e d t h e s c o p e
user and the organization at the center of its
of AI applications, culminating in the
objectives, as argued by Aaron Castellanos,
development of Large Language Models
Solutions Architect, Rackspace Technology.
capable of adaptive and realistic user
Failing to do so can lead organizations to
interactions . However, leveraging AI -
incoherent decisions and biased analysis
powered technologies requires a responsible
driven by AI models, potentially affecting the lives of individuals and the continuity of businesses. “The immense amount of data available can significantly enhance the results, predictions, and insights provided by artificial intelligence, which can lead to better decision-making within organizations,” explained Castellanos at MACDS 2023. However, the quality of AI-driven analysis hinges on the accuracy and structure of the data it processes, as organizations leveraging unstructured data for AI-driven analysis may face flawed or incomplete insights. To leverage vast amounts of data with AI-powered tools, Castellanos advises companies to “ensure good data governance, security, and quality before venturing to adopt this technology.” In fact, he explains that organizations looking to invest in AI “must have a very robust database before the integration of AI,” he added. AI tools have the capacity to streamline organizational tasks, allowing IT specialists
11
C o n fe r e n ce H ighlights to focus on more complex challenges essential
“The FAIR approach involves establishing
for the operation of a company, according to
ro b u s t d a t a g ove r n a n c e , i n c u b a ti n g
Castellanos. They have also proven effective
a minimum viable product aligned
in driving innovation, optimizing resources,
w i t h o r g a n i z a t i o n a l o b j e c t i ve s , a n d
and enhancing customer experience across
industrializing generative AI within a
all industry sectors. In fact, “financial entities
defined life cycle,” explained Castellanos.
are currently leveraging generative AI to
This is meant to ensure a symbiotic, cyber-
positively transform the industry, offering
resilient, and sustainable approach to AI-
extreme personalization based on AI-driven
powered tools.
insights into individual financial behaviors,” explained Castellanos.
As Microsof t and Rackspace contend, ensuring the responsible use of AI implies
However, artificially intelligent technology
putting people and users at the center of
intersects with regulatory, ethical, and
their operations. “At the end of the day, AI
cybersecurity issues that companies must
can not only be exploited for technological
consider before integrating it into their
purposes, but also for social solutions
operations, warned Castellanos. In fact, to
and services,” stated Castellanos. The
ensure AI-empowered customer experience
FAIR framework exemplifies AI’s potential
optimization, Rackspace and Microsoft
a s a c a t a l y s t f o r s o c i a l b e t te r m e n t ,
designed an innovative practice focused on
emphasizing the critical importance of
accelerating the responsible and sustainable
deploying AI with ethical and responsible
adoption of generative AI solutions.
considerations at the forefront.
FUELING AI INSIGHTS IN MEXICO: DATA LAKES AND CLOUD WAREHOUSES In response to the ever-growing volume of
extensive datasets. Nevertheless, Mexican
data, enterprises are proactively pursuing
enterprises face the intricate challenge of
strategies for the efficient management
integrating these systems into existing
and analysis of data to optimize operational
infrastructures in an efficient way that
efficiency and facilitate decision-making.
enhances their processes and, therefore,
Two compelling solutions on the horizon
their value.
are Data Lakes and Cloud Warehouses, aided by the power of AI, which provide
To f u l l y c a p i t a l i z e o n t h e i r d a t a -
organizations with the c apacit y to
driven transformations , companies
s e c u r e l y s to r e , g ove r n , a n d a n a l y ze
are increasingly relying on e m e rging
12
C o n fe r e n ce H ighlights technologies like data lakes and data
In this case, data warehouses can benefit
warehouses (64%), predictive analytics
industries in need of historical analysis and
(6 3 %) , a n d m a c h i n e l e a r n i n g ( 5 1 %) ,
predictive analytics, such as finance, retail,
according to a Denodo survey. Currently,
and the automotive industry.
organizations are applying a combination of both to leverage the strengths of each,
“A data lake serves as a comprehensive
ensuring a secure, end-to-end system
repositor y intended for later analysis
for storage, processing, and faster time
and needs the expertise of a dedicated
to data - driven insight s , according to
team to process and extract value for the
Microsoft.
organization. In contrast, data warehouses house data that is pre-structured and
While data lakes and data warehouses
processed, readily available for immediate
are similar in that they both store and
utilization,” says Diego Sánchez, Business
process data , they both have distinct
Director, Mabe.
characteristics. A data lake is versatile and flexible, capturing relational and non-
If a company decides to opt for a data
relational data from diverse sources like
warehouse, it will be able to undertake
business applications, mobile apps, IoT
smaller, more agile projects with quicker
devices, and social media, without the
execution. On the other hand, data lakes
need to structure the data beforehand.
are better suited for the execution of
This adaptabilit y suit s industries like
larger, more robust projects that promise
te l e c o m m u n i c a t i o n , h e a l t h c a r e , a n d
greater value to the company, albeit with
manufacturing, where data formats are
a slower pace, he added.
diverse and constantly evolving, according to Microsoft.
The implementation of an AI solution needs a well-defined strategy to enhance
Meanwhile, data warehouses only operate
data processing, particularly during the
in a relational way. Unlike data lakes, data
model’s training phase. As such, it is of
warehouses store treated and transformed
paramount importance for the specialized
data with a defined purpose, often used to
team to engage in meticulous data curation
source analytic or operational reporting.
to ensure that the model effectively aligns with the business’s strategic objectives, said Itzul Giron, Founder and CEO, Knowsy AI. This is meant to safeguard against the generation of irrelevant data, ensuring the model’s utility in the context of informed decision-making. “Data curation, the process of refining data to ensure its accuracy and usability, forms the bedrock of data science. It s e r ve s a s th e e s s e nti a l p re c u r s o r to extracting precise insights and building accurate models, thus empowering datadriven decision-making,” said Roberto Juarez, Sr. Systems Engineer, Nutanix. To implement these solutions accurately, experts recommend hiring an in-house data scientist who truly understands the business model and the leader’s vision to inform data governance and streamline the integration of the chosen AI model.
13
C o n fe r e n ce H ighlights Guidance holds paramount significance
“It is crucial to assess whether AI is truly
given the propensity of data stored in cloud
necessar y, pinpoint the right moment
warehouses and data lakes to descend
fo r i nte g r ati o n , a n d s e l e c t th e m o s t
into chaos and lose utility without a clear
appropriate AI category among the four
strategy. At present, most companies are
types: generic AI, AI machine learning, AI
grappling with gaps in expertise needed to
deep learning, or GenAI. The significance
realize their data-driven ambitions. Without
of determining the type of AI used, lies in
them, companies lack the capabilities to build
the particular emphasis of its pre-trained
data architectures capable of generating the
nature. While many companies currently
desired insights needed to optimize business
prefer machine learning or deep learning,
decisions. These qualifiers are meant to
fewer have truly explored GenAI,” said
precede the implementation of AI tools for
José Carlos Huescas, W W HPC and AI
data processing.
Product Manager, Lenovo.
DATA CENTER RESILIENCE, SAFEGUARDING BUSINESS CONTINUITY Continuity of data center operations is
safeguard against substantial economic
key for companies that depend on these
losses in times of crisis,” says Rogelio Garcia,
facilities, vital to the operation of digitally
Chief Data Center Officer, Grupo Salinas.
driven activities. However, companies have encountered significant challenges toward
Preserving data security and ensuring
successful operations, including budget
uninterrupted operations are of utmost
limitations, geographical constraints, and a
i m p o r t a n c e , w h i c h c a n b e a c h i eve d
shortage of tech expertise. To address these
by embracing a multifaceted strategy,
issues, industry experts suggest distributing
s ays D a río G a rcía , C h i ef Te c h n o l o g y
resources across multiple cloud platforms
Officer LATAM, ManpowerGroup LATAM.
is a key strategy for cost management
This approach should encompass the
and having a contingency plan to mitigate
integration of backup power supplies,
potential risks stemming from potential data
fail-safe connectivity options, and cutting-
center outages.
edge technologies, he contends. To further enhance resilience, companies are also
“Ensuring the seamless operations of a
broadening their data center footprint
data center is of paramount significance.
across various geographic areas in the
The utilization of additional power sources,
event of unforeseen disruptions like power
connectivity, and cutting-edge technologies,
failure, human error, and even climate
coupled with the strategic placement of
disasters. This geographical expansion
data centers across diverse geographical
acts as a crucial safeguard, bolstering
l o c atio n s , is a bso l ute ly c r u cia l . T h is
resilience against financial setbacks in
comprehensive approach serves as a critical
times of crises.
14
C o n fe r e n ce H ighlights management cannot be understated, as it lays the foundation for robust and reliable digital operations in an increasingly interconnected and data-driven age. “Choosing the right location and constructing efficient data centers is pivotal,” emphasized Benjamin Aguillón, Board Consultant, MEXDC. The primary guideline is clear: the optimal geographical location for a data center should always be in close proximity to the user base and tailored to the specific needs of the business. This principle now drives a new wave of data center establishment, ensuring that these essential nerve centers of information are strategically positioned to address the dynamic demands of both users and corporate operations. By being situated near users, data centers not only bolster the speed and efficiency of data transmission but also significantly enhance the overall user experience. Simultaneously, aligning the location of data centers with the ever-evolving needs of the business ensures “Strategically distributing services across
that companies can seamlessly adapt to
multiple cloud platforms is a vital component
shifting operational landscapes, thereby
of business resilience. Cloud architects and
increasing operational resilience in the face
trained professionals are at the forefront of
of technological change.
this strategic imperative,” says Óscar García, CIO, SmartPlus.
“Cutting-edge technology, latency, energy, and sustainability are paramount factors
The strategic allocation of assets across
that demand your full attention when
different cloud service providers is meant to
envisioning your data center,” said Josue
achieve equilibrium between economizing
Ramirez, Regional Director LATAM, IDCA.
expenses and guaranteeing constant accessibility of data assets stored in data
Nevertheless, it is imperative for businesses
centers. Consequently, cloud architects
to establish a well thought-out disaster
must meticulously evaluate the unique
recovery plan. Whether it is in response to
requirements of the company and assign
a natural disaster, a cybersecurity breach, or
resources correspondingly. This way, cost-
any other unforeseen event, having a robust
effectiveness and uninterrupted business
strategy to ensure the continuity of essential
operations can be achieved simultaneously.
services is key to a company’s resilience and long-term success.
However, site selection process is far from straightforward; it demands a comprehensive
Industry leaders agree that finding skilled
approach to accommodate the necessary
professionals has become an arduous task,
IT infrastructure. This includes critical
with 53% of data center operators currently
considerations such as power supply and
grappling with this daunting challenge. In
communication capabilities, which are
their collective insight, they emphasize
integral to establishing a professional and
that addressing this shortage is key to
resilient data center. The importance of
sustaining and propelling the data center
site selection in the world of data center
industry forward.
15
C o n fe r e n ce H ighlights
ADVANCING IOT ANALYTICS THROUGH EDGE-CLOUD SYNERGY The growing volume of data produced by
solution to reduce data latency, which
IoT devices requires applications capable
in tu rn c a n e n h a n ce re a l -tim e , d at a -
of monitoring and analyzing data flows,
driven decisions within organizations as
closer to the source to curb transmission
discussed with industry leaders at Mexico
late ncy. Th e integration of e dge a nd
AI, Cloud and Data Summit.
cloud technologies creates a powerful infrastructure, capable of bridging the
Edge
gap between the explosive growth of
infrastructure paradigm that empowers
computing
represents
an
I oT d at a a n d th e n e e d fo r re a l -tim e ,
devices to per form ex tensive data
data-driven insights, according to Juan
processing at the network ’s periphery.
Carlos Montero, Partner, Head of Digital
This approach offers the dual advantages
Technology Mexico, NTT Data.
of conser ving network resources, thereby reducing data traffic, latency,
“Real-time data processing at the edge
and associated costs. Conversely, cloud
guarantees immediate responses, while
computing provides organizations
cloud-based analytics provide predictive
with the capacit y to amass ex tensive
insights, enabling companies to not just meet
d at a re p osito rie s a n d co m p ut atio n a l
but surpass client expectations,” says Óscar
capabilities.
Parra, Managing Director, Genesys. The fusion of edge and cloud computing Network congestion caused by high traffic
assumes a pivotal role in amplifying the
or network overload can significantly
efficacy of real-time data processing for
increase data transmission latency
IoT analytics. This synergy minimizes the
between edge devices and cloud servers.
necessity for data transmission to the
This issue is a critical factor in various
cloud, affording a framework that fosters
a p p l i c a ti o n s , e s p e c i a l l y i n r e a l -ti m e
customer-centric strategies.
systems such as online gaming and financial trading platforms, where even small delays
“Edge computing empowers data analytics
can significantly impact user experience
by moving processing closer to the data
or financial transactions. In light of this,
source. It is not just about data; it is about
choosing servers that are geographically
real-time insights, facilitating smarter
closer to the source can serve as a viable
d e cisio n s ,” s ays S e b a s tiá n C a rm o n a ,
16
C o n fe r e n ce H ighlights it presents a complex and rapidly evolving task. The initial creation of a foundational algorithm and its subsequent adaptation require substantial effort and expertise. As intelligence within IoT systems continues to advance, the effective management of cloudbased communication becomes paramount. The evolution of artificial intelligence (AI), exemplified by the emergence of technologies such as chatbots, signifies a profound shift toward collaborative and creative roles, demanding a heightened degree of adaptability. Ignacio Madrid, Head of Data Management, Citibanamex, underscores the necessity of a holistic perspective on the IoT ecosystem, recognizing adaptability as a key imperative in a landscape where AI and automation are redefining traditional job functions. “In the era of AI, embracing new technologies and adapting to evolving roles is essential. AI has taken over tasks we could not have imagined before, allowing us to shift our focus toward collaborative and creative Global Vice President R&D Transformation,
endeavors. What was once inconceivable, like
Honeywell Technology Solutions Mexico.
AI-generated text, is now a reality. It is crucial to adopt an attitude of adaptability to thrive,”
Integrating IoT data into the cloud-edge
says Madrid.
co m p u ti n g f r a m ewo r k p o s e s s eve r a l significant challenges. Data integrity, a
The standardization of global operations
linchpin in this endeavor, revolves around
through the deployment of edge computing
three critical facets: devices, platforms,
brings about heightened efficiency in data
a n d co m m u n i c ati o n c h a n n e l s . I n th e
processing, particularly within the domain
context of IoT, the primar y challenge
of private networks. The integration of AI,
emerges in the assurance of data quality
such as ChatGPT, underscores the critical
for processing, particularly within the
importance of judicious utilization to optimize
context of hybrid wireless networks.
resource management and response times, especially when confronted with substantial
Ensuring that each of these pre-processed
data loads. Gabriel Fernández, Innovation and
data streams can seamlessly harmonize
IoT Director, AT&T Mexico, aptly highlights
with a central algorithm constitutes a
the significance of Low Power Wide Area
formidable challenge. The amalgamation of
Networks (LPWAN) in preserving battery
these elements is essential for achieving an
life and enhancing resource optimization for
integrated and comprehensive outcome, but
IoT devices.
STRIVING TOWARDS MATURITY: MEXICO’S DIGITAL LANDSCAPE Mexico finds itself at the crossroads of
the nation’s economic and technological
transformation, where the convergence of
trajectory. As Mexico strives toward digital
emerging technologies promises to reshape
maturity, it is essential to examine the trends
17
C o n fe r e n ce H ighlights
that are set to propel or challenge the
the organization can gather, process, and use
country’s digital economy in the coming years.
data to optimize operations. Because of this, the Mexican Internet Association and Knowsy
“Th e d i g i t a l l a n d s c a p e o f M ex i c o i s
propose the Identification Inter-Platform
c u r r e n t l y ex p e r i e n c i n g a s i g n i fi c a n t
Standard (IDMX), an initiative designed to
transformation . A s indicated by a
facilitate the accessibility of essential user
recent survey conducted by MEXDEC ,
data for corporations, enabling them to
a notewor thy 9 6 million citizens have
provide tailored products and services to
established internet connectivity. This vast
their clients.
online presence has unveiled a spectrum of diverse internet behaviors, spanning
The next step in digital development in
multiple generations,” says Itzul Girón,
Mexico is the introduction of Mission Focused
Founder and CEO, Knowsy.
Cognitive Agents. These are AI-powered data processing models that are able to sift
According to the MEXDEC survey 42.7%
through data inputs to streamline decision-
of internet users in Mexico spend between
making in a specific area. Developers create
seven and nine hours online, well above the
a cognitive agent with the abilities of a highly
global average of four hours. IThe survey
specialized person and, with the input of cured
shows a 45% increase in the development
data, they are able to suggest more efficient
of financial and banking apps, allowing
solutions. Nonetheless, to operationalize
more unbanked people to access financial
this endeavor effectively, a framework
services.
must be established to define the model’s agency, its mission, dependencies, and
In th e e - comm e rce ind ustr y,
32 % of
regulatory oversight.
Mexican users prefer shopping at physical stores, and 17.5% are not convinced by the
“The next step is multi-agent interoperable
offers presented online. This suggests that
communication, where multiple cognitive
data is not yet being effectively utilized to
agents are able to share information to
personalize offerings, highlighting a lack
f ur ther enhance the decision -making
of interoperability and data architecture,
process for corporations,” says Girón.
suggests Girón.
After that, in about five years, developers will be getting closer to General AI, which
Interoperability is key in any data strategy
possesses the ability to understand, learn,
within an organization so that every part of
and perform tasks in diverse domains.
18
C o n fe r e n ce H ighlights If the integration of AI-enhanced tools
supercharge Mexico’s GDP growth, potentially
like cognitive agents is successful, it could
taking it from 2.4% to 6.4%.
DIGGING DEEPER WITH TECHNOLOGY-DRIVEN DATA MINING As digital infrastructure continues to expand,
“Conducting continuous assessments is
organizations find themselves increasingly
fundamental in the realm of data management,
saturated with extensive data resources that
as failing to understand the present condition
are not being harnessed efficiently. Despite
of your operational systems can inevitably
these challenges.
lead data projects to failure,” said Tellez. A d d i t i o n a l l y, a p p l y i n g d a t a m i n i n g
“The exploratory nature of data mining allows IT specialists to unveil intricate patterns and trends within huge datasets”
Dante Tellez Director Data | Kubo Financiero
strategies without previous planning can also affect the quality of insights, as data strategies not adequately aligned with business objectives often fail to yield the expected results. “The vast computing capabilities offered by cloud platforms often leads to the temptation of employing brute
Nevertheless, data scientists must ensure
force methods upon the gathered
the quality and reliability of the data being
data , processing information without
analyzed, as inconsistent information can
discernment. Initiating an investment
lead to flawed conclusions and, consequently,
process without meticulous planning can
poor business decisions.
prove detrimental to business objectives,” stated Murillo. To avoid such issues, Juan
Data mining has become an essential
Manuel Andrade, Chief Data, Analytics
component for successful analytic initiatives
and Transformation Officer, Banco Azteca,
within organizations, enhancing decision-
recommends organizations to start by
making by providing executives with valuable
“distinguish[ing] between operational
insights. In fact, 69% of organizations are
and analytical loads to avoid complexities
looking to leverage data to enhance their
associated with data handling.”
operational efficiency, according to a Denodo study. However, “without quality data,
Beyond the known challenges associated
deriving valuable insights for capitalization
with data quality and strategy, data mining
becomes exceedingly challenging for
initiatives are also contingent on their
businesses,” adds Rodrigo Murillo, CDO,
effective communication and integration
Círculo de Crédito.
into the decision-making process. Téllez
19
C o n fe r e n ce H ighlights affirms that “an effective data strategy
Data Powerhouse, Danone. To address
becomes significantly simpler when it is
this collaborative challenge, Andrade
aligned with the company’s overall business
explains that “IT translators serve as an
strategy.” The capacity to explain the results
effective solution to ensure seamless
of these complex algorithms to stakeholders
communication between developers and
is paramount, albeit a significant challenge.
business executives.”
Nevertheless, companies must make an effort to “cultivate effective dialogue among cross-
Data has become a valuable business asset,
functional teams” to bolster the efficacy of
according to experts, enhancing business
data mining projects, explains Juan Carlos
decision-making and propelling operational
Balboa, Technological Transformation
efficiency forward. However, planning
Director, Vector Casa de Bolsa.
a unified business objective between IT specialists and executives is a significant
By extension, companies should be careful
challenge. Nevertheless, Murillo explains
to avoid conflicts within their IT team,
that “top executives are not concerned
which normally arises from deviating
a b o ut data’s p e r fe c tion; rath e r, th ey
interpretations and or understandings
prioritize its quality, ensuring it generates a
of their organizations’ objectives, says
return on investment or a tangible economic
Francisco Viana, CDO and Director of
benefit for the company.”
INNOVATION AND TECHNOLOGY IN THE BUSINESS DNA To maintain its market prominence amid
“From our fleet of delivery units to our
the accelerated evolution of Mexico’s retail
distribution centers and strategic partnerships,
and e-commerce industries, Grupo Coppel
we traverse a multifaceted landscape of
is strategically incorporating emerging
operations, each of these transactions leaves
technologies at the core of its business
behind a trail of data, which we are currently
DNA to continue driving innovation, explains
harnessing and exploring with the intricate
Ricardo Álvarez, National Manager, Grupo
web of our operations,” says Álvarez.
Coppel. This proactive approach has resulted in substantial investments in artificial
Grupo Coppel is committed to maintaining
intelligence and data analytics, with the
competitiveness in a rapidly changing
purpose of gaining a deeper understanding
market, where adapting to evolving customer
of its vast customer base and informing
demands and preferences is paramount.
business decisions.
What has significantly contributed to the company’s success in its evolving approach,
Grupo Coppel maint a in s a n ex te n sive
is its transition from a primarily application-
network of over 1,700 stores and more
centric model to one that prioritizes data
than 180 distribution centers, catering to
science at the forefront, explained Álvarez.
approximately 27 million active customers
This strategic shift entails a dedicated focus
across various segments, including
on democratizing data tools and fostering
c o m m e r c e , r e t i r e m e n t s av i n g s , a n d
a culture of creativity among its workforce.
banking. In their pursuit of operational
Data science teams have been established,
o p ti m iz a ti o n , e ffi c i e n c y, a n d m a r ke t
featuring a range of expertise, from editorial
exploration, the company has embarked on
to technically specialized roles.
a data-driven journey, expanding beyond traditional transaction and portfolio data to
“Coppel actively advises the construction
unearth new opportunities. Their strategic
of organizational suppor t struc tures ,
initiatives include the implementation of
including research centers and centers
machine learning models and chatbots at
of excellence, to facilitate technological
various customer touchpoints, aimed at
innovation,” says Álvarez. These initiatives
enhancing customer interactions.
e n a b l e t h e c o m p a n y t o e ff e c t i v e l y
20
C o n fe r e n ce H ighlights monitor retail trends and explore various
structures with a resolute focus on a
technological domains. Notably, their pursuits
customer-centric company strategy. However,
extend beyond data science as they venture
interoperability issues, privacy concerns,
into the realm of robotics. These initiatives
high implementation costs, and compliance
enable the company to effectively monitor
challenges continue to impede a seamless
retail trends and explore various technological
adoption of these technologies.
domains. Notably, their pursuits extend beyond data science as they venture into the
Despite these challenges, as Grupo Coppel
realm of robotics.
envisions the future, it anticipates the implementation of automated inventory
Furthermore, the company maintains a
management and personalized product
dedicated research center, focused on
creation through customer terminals. Their
exploring advanced research agendas,
ultimate objective is to systematically
which often involve atypical questions, such
disseminate knowledge and cultivate
as inventory balancing and dynamic pricing
creativity, firmly positioning data science
analysis. Coppel’s commitment extends to
and AI as long-term strategies, rather than
aligning data exploitation and automated
fleeting trends.
CONNECTING MEXICO BUSINESS: 5G, CLOUD AND EDGE As frictionless connectivity becomes a
transformations is poised to be profoundly
pivotal element for the operational efficiency
transformative. It promises to usher in
of digital businesses, 5G integration arises
enhanced business efficiency through
to ensure expedited data transfer for real-
streamlined production and automation, as
time interactions between companies
part of a growing portfolio of application use
and consumers. However, embracing this
cases. This outlook was confirmed by Fabián
cutting-edge technology is not without its
Monge, Country Manager, Ericsson Mexico,
challenges. Companies face the daunting
who noted that “two-thirds of envisioned
task of ensuring compatibility with 5G, which
5G use cases are still in the development
demands substantial investments in scalable
phase, underscoring the immense potential
and flexible network infrastructure.
at hand.”
In M exico, the anticipate d impac t of
While 5G networks are poised to spur
5G technology on companies’ digital
innovation, curtail operational failures, and
21
C o n fe r e n ce H ighlights elevate customer experiences, as explained
operations, effectively improving time-
by M o n g e , t h e r e a r e s t i l l n u m e r o u s
sensitive tasks and elevating the overall
unexplored applications. One of the most
quality of products.
exciting is in the predictive analysis of potential failure scenarios in organizations.
Looking ahead, as the adoption of
Traditionally, before 5G, this was a time-
I oT d ev i c e s c o n t i n u e s to s u r g e , t h e
consuming process, taking an average of
indispensability of 5G technology
two to three weeks to identify. However,
becomes increasingly evident. At pace,
“the connectivity provided by 5G enables
Ericsson’s research predicts that over
companies to leverage real-time data
24 billion interconnected devices will
capturing algorithms, reducing prediction
be operational by 2050. To ensure the
time from three weeks to 15 minutes,” says
sustained interoperability, frictionless
Monge. In short, the robust connectivity
connectivity will be paramount, directly
offered by 5G, provides companies with
a ff e c t i n g o p e r a t i o n a l e ffi c i e n c y a n d
t h e n e c e s s a r y b a n d w i d t h to d e p l oy
business continuity. However, the adoption
machine learning algorithms needed to
of this technology requires financial and
respond, adjust, and pivot their operations
infrastructure assessments to guarantee
as needed.
its effective integration, warned Monge.
In light of this potential, Monge emphasizes
Altogether, there is no doubt that 5G
that the integration of technologies like
technology is expected to transform the
5G and edge computing “must become
way in which we experience the world
a priority for companies carr ying out
around us. In fact, just as “the internet
co m p l ex o p e rati o n s th at n e e d to b e
democratized knowledge and information,
efficiently virtualized.” These technologies
extended reality powered by 5G will likely
play a pivotal role in streamlining cloud
democratize experiences by introducing
p ro ce s s e s a n d e n h a n c i n g p re d i c ti ve
n ew a l te r n a ti ve d i g it a l d i m e n s i o n s ,”
risk scenarios related to supply chain
predicts Monge.
EMBRACING OPEN SOURCE FOR SEAMLESS INTEGRATION The rapid proliferation and integration
can significantly hamper an organization’s
of emerging technologies has given rise
overall agility, efficiency, and adaptability.
to complex digital infrastructures where compatibility gaps impede the efficient
Open source offers a range of compelling
flow of data. As businesses expand and
advantages, but among them three chiefly
diversify, the need for seamless integration
stand out: standardization, flexibility and
bet we en IT tools becomes of critic al
expansion, explained Facundo Chambó,
importance, as a fragmented IT system
CTO, Homie. Open source fosters industry
22
C o n fe r e n ce H ighlights compatibility through the promotion of
direction. Collaborating within the open
open source standards. Nonetheless, open
source community brings forth a diverse array
source is flexible enough to be adapted to
of expert perspectives, enabling startups to
the unique business and operational needs
more effectively identify opportunities and
if needed. Moreover, since open source is
challenges, thereby charting a course for
continuously maintained and improved by
success in a fiercely competitive market. This
entire communities of developers, digital
broader perspective empowers startups to
expansion is facilitated. This advantage is
better comprehend issues and develop more
p a r ti c u l a r ly re l eva nt i n th e eve nt of
effective solutions. This includes addressing
shared-problems like sof t ware and
challenges like personalization, the insights
security issues, which will be addressed
from which can assist in adapting solutions
and corrected by an entire community of
more adeptly to customer needs and desires.
stakeholders instead of internal teams. While open source technology offers
“The inherent value of open-source technology is reflected in its remarkable adaptability. When utilized by businesses, it becomes a versatile toolkit for crafting customized solutions”
Facundo Chambóz CTO | Homie
remarkable flexibility and customization, organizations must exercise caution to avoid the pitfall of excessive customization. Overcustomization can lead to compatibility and maintenance issues as open source projects evolve and receive updates. It is crucial to strike a balance between tailoring the software to specific needs and ensuring the ability to benefit from community-driven updates. This equilibrium is key to fully leveraging the advantages of open source while safeguarding
For startups, open source technology
its long-term functionality. On the flipped
emerges as a pivotal asset. It offers burgeoning
side, there is the concern of dependency
enterprises the means to enter the tech arena
on the development community. In the
without bearing the substantial financial
event that a community becomes inactive
burdens often associated with proprietary
or an open source project is abandoned,
solutions, as noted by Rafael Verduzco, CTO
organizations relying on that technology
, Zendala. Through the utilization of open
may find themselves in a precarious position,
access to source code and the wealth of
highlighting the importance of careful
available resources, startups can craft top-tier
consideration and contingency planning in
products and services while circumventing
open source adoption.
onerous software licensing expenses. Moreover, the accessibility of open source’s In addition to the financial and time-saving
source code exposes it to potential security
advantages , open source technology
risks, as malicious actors can identify and
significantly enhances the decision-making
exploit vulnerabilities, says Juan Arturo
process for organizations. By granting
Dueñas, CIO, GM Mexico. To mitigate these
access to comprehensive data and in-
risks, it is imperative for companies and
depth analysis, companies can make more
developers to follow security best practices,
informed choices regarding their product
which include prompt implementation of
development, strategic planning, and overall
updates and security patches.
THE AI HORIZON: MAPPING YOUR INTEGRATION STRATEGY The strategic adoption of AI tools
Nevertheless, the hasty integration of AI
h a s e m e r g e d a s a c r u c i a l d r i ve r o f
technology without the prior establishment
competitiveness and efficiency, facilitating
o f w e l l - d e fi n e d b u s i n e s s o b j e c t i ve s
the digital transformation of enterprises.
a n d a co m p re h e n sive a s s e s s m e nt of
23
C o n fe r e n ce H ighlights
compatibility, can pose significant risks
“To ensure the successful integration of
to o p e r a t i o n a l i n te g r i t y a n d r e n d e r
AI, companies must know with absolute
substantial investments ineffective. A case
certainty the state in which the company’s
in point is the potential incompatibility
digital architec ture is in before eve n
of inadequate IT infrastructure with AI
beginning to plan to integrate enhancing
tools, resulting in formidable challenges
tools,” says Diego Halff ter, Chief Data
and elevated costs needed to correct
and Analytics Officer, Justo. A company
the integration of these technologies
cannot start evaluating the integration of
into systems.
AI-powered tools and models if it does not have clear business objectives. “The
“Mexico ranks fifth among the 12 countries
key to a successful AI solution resides in
that make up the Latin American Artificial
its ability to address well-defined needs.
Intelligence Index, with a score of 48.55
Artificial intelligence by itself is destined
against the regional average of 42.61. The
for failure,” he added. To achieve this, he
country shows a good performance in
recommends breaking down each step of
research, although the need to strengthen
the integration phase as much as possible
its infrastructure is evident,” says Carlos
so that AI implementation and its scale is
M a r c e l , M a n a g i n g D i r e c to r, Ky n d r y l
as seamless and organic as possible.
Mexico. “Even though [Mexico’s] ranking is high up in the region, there are still many
“Nevertheless,
conducting
a
opportunities to grow and to strengthen
co m p re h e n s ive co s t- b e n e fi t a n a lys i s
the technological ecosystem to allow AI
and measuring the return on investment
to really make a substantial difference in
is indispensable to ensure that
its competitiveness,” he explained to MBN.
AI implementation aligns with an o r g a n i z a t i o n ’ s fi n a n c i a l o b j e c t i v e s
B usinesses looking to leverage AI -
and&or limitations,” says Marco Antonio
powered tools are constantly looking to
Hernández, CDO, PROSA.
enhance their operational efficiency. By harnessing this technology, organizations
“ T h e c o m p re h e n s i ve d o c u m e n t a ti o n
c a n e ff e c t i v e l y s t r e a m l i n e i n t e r n a l
of the organization’s requirements, the
processes, automate repetitive tasks, and
reason for implementation—such as cost
optimize resource utilization. Furthermore,
reduction and time efficiency—and a well-
by customizing interactions, anticipating
defined timeline for expected outcomes
customer needs, and enhancing service
is imperative,” said Ignacio Madrid, Head
qualit y through AI - driven insight s ,
of Data Management, Citibanamex.
b u sin e s se s c a n sig n i fi c a ntly im p rove
This approach ensures alignment with
c u s to m e r ’s e x p e r i e n c e a n d g a i n a n
use r re q uire m e nt s a n d exp e c tatio ns .
advantage over competitors.
The process, he elaborated, should be
24
C o n fe r e n ce H ighlights underpinned by robust data governance
Another key factor to ensure successful AI
frameworks, wherein the Chief Data Officer
implementation is the interconnectedness
ensures data quality and curation, while
of the different areas within an organization.
the Chief Analytics Officer identifies use
Alfredo Pequeño, Director of Payment
cases that deliver tangible value through
Methods and Data, BanRegio, underscored
data-driven insights. This will ensure that
the essential nature of collaboration and
investments are inextricably linked to the
cohesion when integrating AI solutions.“It is
specific use cases, a strategy that promises a
useless if only the CDO or CAO are aware of
more accurate allocation of resources and a
what the analytic model is doing, because
more optimal path to ensuring ROI.
data and decision-making touch every single branch of an organization. No man is an
“Maintaining a simple, yet clear approach to
island, so every person involved must have
the case of use and business objectives for
a clear idea of what the goal and expected
AI-powered tools is key for the most effective
results are.”
implementation of this technology,” said Pablo Guzzi, Chief Data and Analytics Officer,
I n th e f u tu re , w h e n co m p a n i e s h ave
Ualá. Simplifying complex data into clear and
successfully integrated these solutions into
unambiguous metrics allows for development
their processes, there will be a redefinition
of lucid and straightforward solutions that
of organizational structures, according to
are valuable for the company. Furthermore,
Justo’s CDO. As businesses evolve with
adopting a forward-thinking perspective, with
these types of technology, those who
an eye on large-scale deployment, prioritizes
have the skills to carry this out will be the
scalability from the inception of their AI
leaders. “Today’s CDOs will be the CEOs
journey. This approach, he suggested, not
of the future, as today’s skills will be the
only fosters innovation but also paves the way
skills needed for tomorrow’s companies,”
for sustained competitiveness.
he concluded.
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