PRODUCTS

Veeam Backup for Salesforce

Veeam Software has launched the NEW Veeam Backup for Salesforce on Salesforce AppExchange which eliminates the risk of losing Salesforce data and metadata due to human error, integration issues and other data loss scenarios.

This new solution from Veeam — a market leader in Modern Data Protection — enables organizations to deploy a backup environment either on-premises or in the cloud, providing access and control of Salesforce data and metadata. It also provides powerful, rapid-recovery capabilities for IT departments and Salesforce administrators, including granular and bulk data recovery of Salesforce records, hierarchies, fields, files and metadata. This new offering builds on the success of Veeam Backup for Microsoft 365, extending Veeam’s enterprise-grade platform to another industry-leading SaaS environment.

Whether a mistake with a script, data loader or an integration issue, the simple and easy-to-use user interface (UI) of Veeam Backup for Salesforce helps users resolve issues and retrieve data in just a few clicks — without executing additional backups, running long, full-backup comparisons or causing duplicates. Key capabilities of Veeam Backup for Salesforce include: • Salesforce native: Purpose-built to create backups and restore Salesforce data and metadata • Fast and flexible recovery: Restore Salesforce records, hierarchies, fields, files and metadata • Secure data: Run a backup environment anywhere — on-premises or in the cloud (AWS, Azure, etc.) • Custom scheduling: Set granular backup schedules and retention settings at the object level • Simplified management: Manage several

Salesforce instances from one console • Incremental changes: Continuously create backups with incremental sync and flexible scheduling for Salesforce data • Simple and easy-to-use UI: Run backup policies and restore jobs in minutes • See and compare: See versions of records and metadata and quickly compare with production • Restore hierarchy: Granularly restore linked objects to any record, including parent/child records

Vertic Liebert XDU

Vertiv has introduced Liebert XDU, a new generation of thermal management systems that supports liquid-cooled servers and enable the control of liquid quality, flow and pressure. The Liebert XDU coolant distribution system enables the deployment of liquid cooled server applications into any data centre environment, from core to edge computing sites. “High-performance computing applications such as artificial intelligence and augmented reality are growing in popularity at the same time that data centres are working to reduce their energy consumption and pushing the industry to find new, more sustainable solutions,” said Roberto Felisi, senior global director and EMEA business leader for thermal management, Vertiv. “Many colocation providers who have traditionally relied on air cooling are now hosting applications with higher power processors that require more efficient heat management solutions like liquid cooling. With the Vertiv Liebert® XDU, our customers can meet the high-density computing demand whilst improving their operational efficiency.”

The Liebert XDU is an innovative liquid-to-liquid cooling distribution unit available in two capacities, 450kW and a model capable of up to 1368kW, circulating water through liquid-cooled server racks and rejecting the heat from the returning warm water. The system uses a closed water loop to avoid any waste, and is capable of capturing heat to utilize it to warm nearby offices, homes or farms, supporting the circular economy. The Liebert XDU utilizes integrated stateof-the-art controls to vary pump speed to optimize supply water temperature and to provide intelligent flow monitoring and alarms. The compact solution can be placed in the row near the rack it is cooling, or along the room’s perimeter.

Vertiv developed the Liebert XDU in close consultation with data centre operators and server manufacturers, who are deploying ultra-high-density, high-performance computing solutions more frequently across many different types of data centres. The company has defined a strategic roadmap to enhance thermal management technologies that enable liquid cooling adoption as part of its increased investments in research and development.

THE NEW RENO8 5G

The latest Reno8 series offers imaging power that enables users to capture every memorable moment in life with incredible detail and clarity. The Ultra Night Video algorithm on the Reno8 5G automatically detects ambient light and increases image brightness, improves colour expression, and sharpens facial features to bring out the beauty in everything.

Shooting portrait videos in scenes with bright backlight has always been a challenge for any camera. The vast difference in brightness between the lightest and darkest elements is no longer an issues with DOL-HDR on the Reno8 5G. When the smartphone detects a high dynamic range in the scene, it will automatically toggle Ultra HDR Video, bringing DOL-HDR into action to process each video frame with enhanced dynamic range and true-to-life colours that guarantee details in videos come out looking bright and clear in both bright and dark areas.

The new Reno8 series also gives you pro-level portrait effects to apply to your still images. Anyone who has spent much time shooting photos at night will know that you need more time to take a photo in a dark environment. The Reno8 5G helps solve this by introducing two new features that reduce the time needed to snap a night portrait by 39.7% compared with the Reno7 series. The first of these is the significantly increased light sensitivity of the dual flagship camera sensors, and the second is the industry-leading Turbo RAW algorithm, which can reduce the noise of all three R/G/B channels using an AI neural network.

Now, when you press the shutter, photos appear more quickly without long-waiting times, enabling you to capture sharp nighttime portraits exactly as you see them.

IS AI THE FUTURE OF SPORTS?

SUNIL PAUL, MD OF FINESSE, ON WHY AI IS A GAME CHANGER FOR THE SPORTS INDUSTRY

When the 2022 FIFA World Cup made its debut, it kicked off one of the most significant in-game uses of technology in sports history.

The official match ball, made by Adidas, contained motion sensors that reported precise location data on the ball 500 times per second, helping referees make more precise calls.

FIFA officials also deployed a more enhanced version of their video assistant referees, first tested in the 2018 World Cup, which used algorithms and data points to help on-field referees make accurate calls.

Refereeing is one of the first instances of Artificial Intelligence in sports – one of the earliest examples is the Hawk-eye technology, which has been employed in cricket to determine whether a batter is out or not based. But there is little doubt that AI has a massive impact on sports.

Coaches and players are looking for deeper insights to take their game to the next level, umpires/referees require assistance to make the right decisions in moments that matter and the fans are demanding more personalised experiences and greater connectivity. AI provides solutions to address all these demands.

Wearable sensors and AI-powered cameras make it feasible to gather a wide range of data, which is then processed by ML-based systems to provide coaches with insightful data. Wearables can be used to track athletes’ movements and physical characteristics during practice, detect early indicators of tiredness or stressinduced injuries and monitor the overall health of the squad. California-based AI firm Zone7 has created an algorithm that can predict sports injuries and is being used by several teams in the NBA, NFL, MLS, and Premier League to detect injury risk.

Coaches can use AI to find patterns in an opponent’s plan, strengths, and flaws before games to craft highly focused gameplans that take advantage of the opponent’s shortcomings. For example, Cornell Laboratory for Intelligent Systems and Controls has created algorithms that can predict the in-game actions of volleyball players with more than 80 percent accuracy by combining visual data – for example, where an athlete is located on the court – with more implicit information, like an athlete’s specific role on the team.

By analysing data from previous seasons, AI can help coaches identify areas where players need to improve. This information can then be used to create tailored training programmes that help players reach their full potential.

AI continues to power fan experiences in various ways by meeting their cravings for more insights into their favourite teams and players. For example, AI and machine learning can automatically detect formation patterns that could take humans hours to do, allowing sports broadcasters, analysts and fans to find the hidden story faster than ever. Qatar-based Sponix Tech has developed a technology which allows fans to view a match through the eyes of the players on the pitch without having any hardware or camera installation in the stadium.

AI running on IBM Cloud and hybrid cloud technologies have allowed people to register their own match predictions in Wimbledon and compare them with predictions generated by Match Insights with Watson and those of other fans.

AI has also been used to improve ticketing systems so that fans can get access to the games they want to see without having to deal with long queues or sold-out tickets.

Because it can make sense of the massive amounts of data produced and has the potential to make reasonably accurate forecasts, AI analytics technology is being used more and more in sports statistics. Models are being used to calculate the likelihood of a sports team winning or losing and evaluate the performance of individual players.

In the US, professional baseball, basketball, and hockey managers use AI to bolster talent scouting and development.

AI has opened endless possibilities for improving the sports experience for players, teams, and fans. Vantage Market Research has forecasted that the global market for AI in Sports is projected to grow from $1.62 billion in 2021 to $7.75 billion by 2028, registering a compound annual growth rate (CAGR) of 29.7 percent in the forecast period 2022-28. However, while one must remain cognizant of the fact issues surrounding the use of AI – safeguarding rights, privacy, and freedom from bias – its application in sports is applicable too. There is an important need to establish a framework that sets out how the sports bodies and industry stakeholders respond to these opportunities as well as new and accelerated risks.