Future of big data What are the leading technology trends

verdict.co.uk | January 29, 2020

Future of big data What are the leading technology trends
Big data has emerged in response to the exponential growth in data. This in itself is the result of a combination of technology trends. These include (but are not limited to) the ubiquity of mobile devices, widespread use of social media, and the rise of the Internet of Things (IoT). Specific use cases of edge computing. Where more data processing is done at the edge of the network, nearer to the data source. It includes the maintenance of data processing and analytics close to points of collection. The growth of edge computing is therefore closely associated with the IoT. The proliferation of enterprise IoT initiatives and consumer IoT offerings (such as automated home devices) will drive demand for edge computing solutions. The deployment of 5G cellular technologies will be a major stimulus for both IoT and edge computing. The race to reach quantum supremacy – the point at which a quantum computer can carry out calculations faster than a classical computer ever could – is well underway. Google, IBM, and Microsoft are leading the pack. IBM unveiled the first quantum computer designed for commercial use, the Q System One, in March 2019. AI, and particularly machine learning, will benefit. Quantum computers will complete extremely complex calculations, involving large data sets in a fraction of the time. For effort-intensive AI chores such as classification, regression, and clustering, quantum computing opens a new realm of performance and scale. Central processing units (CPUs) have powered data centres for decades, but new workloads stemming from technology such as AI and the IoT are pushing CPU architectures to their limits. Graphics processing units (GPUs) that were once primarily used for gaming can process many threads in parallel, making them ideal for training and modelling of large predictive data models. As the criteria for data centres moves from calculation speed to search speed, GPUs are moving into data centres. However, while GPUs are ideally suited to training neural networks, field programmable gate arrays (FPGAs) show signs of being better at execution.

Spotlight

Retailers need data analytics more now than ever before. Data analytics is driving retailer success by uncovering customer shopping behavior and helping to create a great customer experience. CUSTOMER PERSONALIZATION. Understanding customer purchasing behavior through analytics is extremely important. 65% of consumers are more likely to shop at a retailer in-store or online that sends them personalized promotions1 .


Other News
DATA SCIENCE

J.P. Morgan launches U.S. Applied Data Science Value Fund, harnessing the power of data science to amplify expertise in fundamental investing

J.P. Morgan | December 18, 2021

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BUSINESS INTELLIGENCE

Avantive Solutions Selects Hitachi Solutions America to Optimize Customer Experience with Advanced Data Analytics

Avantive Solutions | January 05, 2022

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BIG DATA MANAGEMENT

HCL Technologies Acquires Hungarian Data Engineering Services Company Starschema

HCL Technologies | January 17, 2022

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DATA ARCHITECTURE

Fractal expands cloud AI offerings with the acquisition of Neal Analytics

Fractal | January 12, 2022

Fractal, a global provider of artificial intelligence and advanced analytics to Fortune 500® companies, today announced the acquisition of Neal Analytics, a cloud, data, engineering and AI Microsoft Gold consulting partner, for an undisclosed amount. Neal Analytics strengthens Fractal's AI engineering capabilities & cloud-first offerings on Microsoft's multi cloud ecosystems and enables clients to scale AI and power decisions; It also strengthens Fractal's presence in the Pacific Northwest, Canada, and India. Founded in 2011, Neal Analytics is a Microsoft Gold Consulting Partner supporting its cross-industry clients, such as PepsiCo and Microsoft, in their data-driven transformation initiatives. Neal Analytics' 200+ team brings deep expertise on the Azure stack - across data science, AI & ML, IoT, Edge Computing, BI, application development, migration and modernization, and automation. Neal Analytics also has partnerships with Intel, Nvidia, and Databricks. "We are excited about partnering with Dylan and his talented team at Neal Analytics. They have built a great client-centric, people-oriented culture, and have an impressive track record of solving and scaling AI engineering challenges, especially on the Microsoft platform, for marquee clients. This partnership will accelerate our ability to power data-driven decisions end-to-end for our Fortune® 500 sized clients." Srikanth Velamakanni, Co-founder and Group Chief Executive, Fractal Dylan Dias, CEO, Neal Analytics, said, "This is the successful culmination of a thorough, year-long process. Our goals were to find the best long-term home for Neal's 200+ employees, a platform to scale faster, and the ability to play a bigger role in this fast-accelerating space. Fractal was a clear choice. Our culture and vision are 100% aligned. This is an exciting opportunity to empower our people and work alongside like-minded practitioners to transform businesses with cloud, data, and AI. It will enable Neal Analytics and Fractal to grow and achieve more together." Satish Raman, Chief Strategy Officer, Fractal, said, "Hyperscale cloud infrastructures are enabling organizations to be more agile and improve their business performance to better serve clients. Neal's award-winning experts in Microsoft's Azure and cloud technologies have been helping organizations to securely migrate, modernize and accelerate their business transformation within the cloud for more than a decade. We're delighted that this acquisition of Neal will further strengthen our rapidly growing analytics, AI, and data engineering business in North America." About Fractal Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Management, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. About Neal Analytics Neal Analytics is a cloud, data, and AI Microsoft Gold Consulting Partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support. Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value with a focus on right sized and pragmatic approaches towards digital transformation.

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Spotlight

Retailers need data analytics more now than ever before. Data analytics is driving retailer success by uncovering customer shopping behavior and helping to create a great customer experience. CUSTOMER PERSONALIZATION. Understanding customer purchasing behavior through analytics is extremely important. 65% of consumers are more likely to shop at a retailer in-store or online that sends them personalized promotions1 .

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