PRODUCTS

Ericsson Network Data Analytics Function

Ericsson has launched its Network Data Analytics Function (NWDAF) solution, based on smarter data-driven networks that learn and improve. Ericsson’s NWDAF enables service providers to improve customer experience by using the data generated by the network to flag and fix problems, thus improving service quality.

For 5G, automation is a continuous endeavor ranging from automating specific simple and complex tasks to supporting zero-touch autonomous networking, which requires the application of advanced technologies such as artificial intelligence (AI), machine learning (ML) and reasoning. NDWAF achieves this by getting the right data at the right cost to feed into the AI/ML models.

NWDAF enhances network operability by providing insight that helps the service provider identify and solve network problems on different levels as well as input for taking valued business decisions. One example is automated closed loops (data retrieval, analytics processing, insights generation and action enforcement) on different network and application levels.

Ericsson’s NWDAF can drive up to 45 percent reduction in OPEX and CAPEX compared with typical third-party NWDAF implementation with event exposure. Smart data acquisition allows more efficient integration and testing, simpler orchestration and optimal footprint.

Bosch smart connected biking solution

The new systems generation from Bosch eBike Systems merges the physical experience of riding an e-bike with the digital experience provided by connectivity and an app. This smart system comprises the new eBike Flow app, an LED user interface, color display, rechargeable battery, and drive unit. Over-theair updates mean it can be continuously enhanced. The eBike Flow app opens up a range of new digital features for e-bikes, such as automatic activity tracking and personalised riding modes. Whether on the daily commute or a leisurely ride, the result is more enjoyment over longer distances.

Lenovo ThinkEdge SE450

Lenovo Infrastructure Solutions Group (ISG) has expanded the Lenovo ThinkEdge portfolio with the introduction of the new ThinkEdge SE450 server, delivering an artificial intelligence (AI) platform directly at the edge to accelerate business insights. The ThinkEdge SE450 advances intelligent edge capabilities with best-in-class, AI-ready technology that provides faster insights and leading computing performance to more environments, accelerating real-time decision making at the edge and unleashing full business potential.

Designed to stretch the limitations of server locations, Lenovo’s ThinkEdge SE450 delivers real-time insights with enhanced compute power and flexible deployment capabilities that can support multiple AI workloads while allowing customers to scale. It meets the demands of a wide variety of critical workloads with a unique, quieter go-anywhere form factor, featuring a shorter depth that allows it to be easily installed in space constrained locations. The GPU-rich server is purposebuilt to meet the requirements of vertically specific edge environments, with a ruggedised design that withstands a wider operating temperature, as well as high dust, shock and vibration for harsh settings. As one of the first NVIDIACertified Edge systems, Lenovo’s ThinkEdge SE450 leverages NVIDIA GPUs for enterprise and industrial AI at the edge applications, providing maximum accelerated performance.

HP TERADICI

HP has rolled out new Z by HP, Teradici, and NVIDIA Omniverse Enterprise subscription offers to power remote collaboration across multiple systems and applications, at the edge or in the cloud. HP is also releasing its data science software stack for Linux workflows in collaboration with Microsoft on the Windows Subsystem for Linux 2 (WSL 2), providing all the development advantages of Ubuntu with the enterprise security and manageability of Windows.

Designed to tackle graphics or compute intensive projects from anywhere, the combination of ZCentral Software and Teradici CAS, provides a comprehensive remote compute solution in a single offer Users will have the flexibility to access the software suite they need to tackle graphics or computeintensive projects from anywhere. Teradici CAS offers teams the ability to securely access the cloud and virtual machines while ZCentral Remote Boost enables access to localised workstation performance. The powerful combination of two industry-leading remote work applications provides access from anywhere using most PCs, thin clients, Chromebooks, or tablets, while seamlessly managing remote connections with IT management software.

The combined one-year subscription will include Teradici CAS and HP ZCentral software for $240 per concurrent user and includes Teradici CAS, HP ZCentral Remote Boost Sender and Receiver, HP ZCentral Connect and support. HP ZCentral Connect software is included in the subscription for a limited time. The subscription is planned to be available for purchase by the end of the calendar year 2021, additional details to follow closer to availability.

DEEP DIVE INTO ADVANCED ANALYTICS

SUNIL PAUL, MD OF FINESSE, ON WHY ADVANCED ANALYTICS IS A BUSINESS IMPERATIVE IN THIS DIGITAL ERA.

Everyone knows that data is the lifeline of today’s businesses. Traditional Business Intelligence (BI) systems analyse data to educate organisations on historical performances. However, those insights alone may no longer suffice in the fast-paced digitalfirst world. Companies must have a comprehensive real-time view of their customers’ buying patterns and critical event analysis to have as much control as possible in unpredictable scenarios. Legacy BI dashboards and architecture simply cannot rise to these evolving demands and to the increasing data deluge brought on by digitalisation drives.

The next generation of BI – advanced analytics – helps organisations to accelerate innovation and achieve business outcomes in uncomplicated ways.

Gartner defines advanced analytics as the “autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.” The main difference between traditional and advanced analytics is the kind of process and techniques followed to address a business challenge. The latter helps to optimise and enhance operations and achieve efficiencies in areas where BI’s repeatable reporting process often falls short. Advanced analytics enables organisations to glimpse the future through predictive tools, helping them stay well ahead of the market curve. According to Gartner, advanced analytic techniques include data/text mining, machine learning, pattern matching, forecasting, visualisation, semantic analysis, sentiment analysis, network, and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, neural networks. These functionalities provide organisations with the capabilities to go beyond data collected from large criteria like geography or product category to act on insights extracted from monitoring and assessing even smaller sources such as social media comments. Advanced analytics is especially useful to predict equipment failures, optimise systems, anticipate supply and demand, detect fraudulent activities, identify customer attrition, enhance customer service and so on. As data can be examined at its most granular form with advanced analytics techniques, it facilitates customisation of marketing activities at an individual, rather than a segment, level. A great example of this is what Amazon and Netflix do – hyper-personalisation through dynamic pricing, product recommendations, show suggestions – all based on detailed data collected and analysed when browsing their sites at both macro and micro levels. For Netflix, this includes collecting information on what time of the day a show was watched, if it was bingewatched or not, was the show paused, and so on. Advanced analytics is a musthave in today’s digital environment, and another important technology associated with this is – Analytic Process Automation (APA). However, all the interesting insights delivered by advanced analytics are in vain if it is not actioned at the right time. Unfortunately, people are often a roadblock in this area – the right person not having the right data to action. APA is the technology that allows anyone in an organisation to effortlessly share and automate data to unleash predictive and prescriptive insights and deliver business outcomes. Advanced analytics offer enormous business value to organisations of all shapes and sizes. If done right, it can help enterprises address challenges before they become problems and assist business leaders in making strategic decisions with greater confidence..