Interested in Machine Learning and AI?You won’t want to miss Data and AI Forum 2019

September 10, 2019

Business and technical sessions with top Data and AI experts will help increase your skills, deepen your expertise and grow your career. Keynotes, demos and hands-on labs that help youlearn a about the latesttrends, tools and solutions across IBM’s Data and AI portfolio. Pose questions, share best practices, and network with experts who can help you get the most out of cloud, data, and AI. Hear IBM clients share success stories on how they are leveraging our solutions to unlock the value of their data and accelerate their journey to AI.

Spotlight

Vritti Analytics

Artificial Intelligence powered Voice Analytics & Data Analytics for fraud detection and happy customers. Machine Learning: Sort key words and cues in the translated data to identify the category, line of business, and owners of the issue being discussed on the call and reviews.

OTHER WHITEPAPERS
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Understanding the Dynamics of artificial intelligence in Intellectual Property.

whitePaper | November 30, 2019

The report on “Understanding the Dynamics of Artificial Intelligence in Intellectual Property” prepared by the Tata Consultancy Services in close association with the Confederation of Indian Industry (CII) captures global developments, practices of various intellectual property offices of the world, technology landscape and research outlook. This publication on IPR would provide useful information to educational & research institutions and industries doing research in this area and fill up gaps for moving forward. CII firmly believes that IPR should be at the centre stage in competing in the world of artificial intelligence in a meaningful manner. The report highlights an important recommendation that, “With evolution of new technology, it is essential to have change in the IP creation and protection ecosystem by mechanisms to develop new doctrines for new technologies, modifying the existing system to accommodate this new change and reshaping of new policies for enforcement of IPRs”.

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WHY MACHINE LEARNING IS THE FUTURE OFPREDICTIVE AND INDUSTRIAL MAINTENANCE

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

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Cloud SOS: Treating a case of cloud failure

whitePaper | August 5, 2020

Your cloud-enabled future loomed bright. Major budgets were allocated. Agonising hours were spent herding stakeholders. You’re now using cloud, but your teams and the wider business aren’t reaping the expected benefits. Even with the best intentions, tech leaders are struggling to fill those skills gaps, particularly when it comes to cloud implementation, migration and net new deployments. As a result, the business is held back – from capitalising on the cloud’s potential to deliver value internally (boosting efficiency and agility) and externally (delivering products and services that boost revenue).

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Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

whitePaper | May 4, 2022

The pandemic has brought about significant economic disruption, thereby increasing the need for banks and financial institutions to be more agile. However, Covid-19 is not the only factor that drives automation and digitalization in the credit and lending process in credit institutions. Incumbent banks are increasingly facing pressure from neobanks, these having the strategic advantage of being “born digital”. In addition, customers demand fully digitalized processes with regard to the ease of use and fast turnaround times.

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What´s New in Denodo Platform 8.0

whitePaper | August 12, 2020

Denodo Platform 8.0 is a significant step forward in realizing the vision of a logical data fabric as a unified data delivery platform that bridges the gap between IT infrastructure and consuming business applications. Denodo Platform 8.0 is based on the same data virtualization technology that Denodo has developed over the years to unify data integration, metadata management, security, and data governance. Denodo Platform 8.0 greatly accelerates the delivery of governed data to all data consumers, in the most appropriate format for each, across multiple distributed heterogeneous systems

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How Financial Institutions Can Overcome 3 Obstacles to Innovation

whitePaper | August 10, 2020

Digital innovation is happening fast — and there’s no slowing it down. Financial institutions are shifting priorities as third-party apps and services become more prevalent among consumers. Now, staying connected is no longer just an option, it’s critical to achieving success and staying relevant. mx.com | 1 But moving fast isn’t as easy as it sounds. There’s a fine line that financial institutions have to balance when it comes to innovating quickly to give their customers the experiences they’ve come to expect and ensuring their data remains safe and secure. As data sharing and connected integration ecosystems become the new norm, here are three challenges many financial institutions are facing.

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Spotlight

Vritti Analytics

Artificial Intelligence powered Voice Analytics & Data Analytics for fraud detection and happy customers. Machine Learning: Sort key words and cues in the translated data to identify the category, line of business, and owners of the issue being discussed on the call and reviews.

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