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

People Data Labs

People Data Labs builds people and company data for developers, engineers, and data scientists. We empower our clients to build and scale innovative data-driven products using 700 million+ unique, always-accurate B2B records. Every day, our clients use our data to build person profiles, enrich person records, power predictive modeling, drive artificial intelligence, and build new tools to make their teams more efficient, productive, and successful. We’re proud to be the preferred data partner to the data science and engineering teams building the next generation of data-driven products and services.

OTHER WHITEPAPERS
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Accenture Enterprise AI – Scaling Machine Learning and Deep Learning Models AWS Whitepaper

whitePaper | August 23, 2022

Today, there is a real-time, global, tectonic shift in the workplace caused by digital transformation. Accelerated by the Covid pandemic, this digital transformation has created never-seen-before opportunities and significant workplace disruption. Fully realizing the new market opportunities demands a modernized workforce.

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CIO vision 2025: Bridging the gap between BI and AI

whitePaper | September 23, 2022

It’s been several years since organizations began adopting artificial intelligence (AI) to improve their business; few have come close to mastering its existing capabilities. A small number of organizations in our research aim to become AI-driven—a status we define as AI and machine learning underpinning almost everything the enterprise does—by 2025. However, this elite group—who we term “AI leaders”1—as well as the many others looking simply to embed AI more firmly in the enterprise foundations face formidable challenges to achieving their objectives.

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Microsoft Vulnerabilities Report 2022

whitePaper | August 22, 2022

Now in its ninth year, the Microsoft Vulnerabilities Report provides a unique analysis of the vulnerability landscape in Microsoft’s ecosystem. Historically, the report has delivered a holistic annual view of the vulnerabilities within Microsoft’s platforms and products, and has established an undeniable business case for the importance of removing admin rights to reduce risk.

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Implementing AI in business challenges and resource

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

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Why Better Mac Security Starts with Cloud Identity

whitePaper | August 17, 2020

For years, employees drove to an office, opened their computer, logged onto a corporate network with their username and password and got on with their workday. But working standard hours in a fixed office location is becoming more and more rare. In fact, a report by Gallup found that 43 percent of American employees work remotely.1 This growing mobile workforce requires the same, secure access to resources as their onsite counterparts — without connecting to the corporate network. And both onsite and remote employees need secure ways to access the expanding number of applications and resources that are hosted in the cloud. To accommodate, enterprise technology and IT practices must adapt.

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FLI Position Paper on AI Liability

whitePaper | November 28, 2022

The Future of Life Institute (FLI) welcomes the opportunity to provide feedback to the European Commission on its proposal for an artificial intelligence (AI) Liability Directive1 . Liability is an important instrument for safeguarding the interests of society. It can play a role in catalysing innovation by encouraging organisations to develop risk-mitigating technologies that reduce the likelihood of harm in products and services. At the same time, it prioritises the rights of individuals and can lead to increased trust and uptake in new technologies.

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Spotlight

People Data Labs

People Data Labs builds people and company data for developers, engineers, and data scientists. We empower our clients to build and scale innovative data-driven products using 700 million+ unique, always-accurate B2B records. Every day, our clients use our data to build person profiles, enrich person records, power predictive modeling, drive artificial intelligence, and build new tools to make their teams more efficient, productive, and successful. We’re proud to be the preferred data partner to the data science and engineering teams building the next generation of data-driven products and services.

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