CDAIT Digital Transformation

November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

Spotlight

Kyligence

Kyligence was founded in 2016 by the original creators of Apache Kylin™, the leading open source OLAP for Big Data. Kyligence offers an Intelligent OLAP Platform to simplify multi-dimensional analytics for the cloud data lake. Its AI-augmented engine detects patterns from most frequently asked business queries, builds governed data marts automatically, and brings metrics accountability to the data lake to optimize the data pipeline and avoid excessive numbers of tables. It provides a unified SQL interface between cloud object stores, cubes, indexes, and underlying data sources with a cost-based smart query router for business intelligence, ad-hoc analytics, and data services at petabyte scale.

OTHER WHITEPAPERS
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Your 2022 Executive Guide to Data Science and AI

whitePaper | July 8, 2022

This series of white papers lays out the essential steps you need to take to ensure your business stays at the forefront of an increasingly data-driven and automated world. We cover everything you need to know about growing a data science team, the current trends in machine learning, data visualisation, essential data science tools and technologies, automation, deployment, how to prove value with data science and also give our thoughts on the next ‘big ideas’ that are set to take the world of AI in business by storm.

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Tackling climate change with data science and AI

whitePaper | April 2, 2023

In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change.

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The Power of Graph Data Science: Maximizing the Value Of Data Through Predictive Insights

whitePaper | September 28, 2022

Graph data science (GDS) is a scientific approach to gain knowledge from graphs, using the structures of connected data to power predictions, answer questions, and explain outcomes.

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Customization of Access Control in Microsoft Azure

whitePaper | December 6, 2022

Datamatics provides intelligent solutions for data-driven businesses to increase productivity and enhance the customer experience. With a complete digital approach, Datamatics portfolio spans across Information Technology Services, Business Process Management, Engineering Services and Big Data & Analytics all powered by Artificial Intelligence

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Accountability and Traceability White Paper & Research Roadmap

whitePaper | April 18, 2023

The MIT Future of Data Initiative is leading a multi-disciplinary research agenda to design and stimulate the deployment of consumer-empowering and accountable systems to provide trusted, traceable uses of personal data on an ecosystem-wide scale. The Initiative has gathered together computer science and Internet policy researchers as well as leading commercial enterprises in financial services, payment technology, cloud platforms, insurance and other sectors to discuss current challenges and opportunities in privacy and data governance. Today’s modern privacy laws place appropriately high expectations on organizations processing personal data. At the same time, consumers report declining trust in those who handle their personal data and regulators around the world struggle with the scale of the enforcement challenge. We aim to identify and put into service technical infrastructure for enterprises seeking to handle personal data in a trustworthy and lawful manner with guardrails to enable the traceable, accountable, and scalable use of data.

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Spotlight

Kyligence

Kyligence was founded in 2016 by the original creators of Apache Kylin™, the leading open source OLAP for Big Data. Kyligence offers an Intelligent OLAP Platform to simplify multi-dimensional analytics for the cloud data lake. Its AI-augmented engine detects patterns from most frequently asked business queries, builds governed data marts automatically, and brings metrics accountability to the data lake to optimize the data pipeline and avoid excessive numbers of tables. It provides a unified SQL interface between cloud object stores, cubes, indexes, and underlying data sources with a cost-based smart query router for business intelligence, ad-hoc analytics, and data services at petabyte scale.

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