Learn about open source tools for enterprise data science by downloading the new white paper, “DataScience Trends Report: Open Source Tools for Enterprise Data Science” by DataScience, Inc. The white paper looks at activity data from the most popular GitHub repositories to identify trends in data visualization tools, deep learning libraries, and open source licensing using the interactive DataScience Trends tool.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the fourth in a series of articles providing content extracted from the guide. The topic for this segment is the results of the recent “insideHPC insideBIGDATA AI/Deep Learning Survey 2016” underwritten by NVIDIA.
data.world, the social network for data people, today announced it has closed $18.7 million in venture capital funding at double the valuation of its previous round. This second round brings the total amount of capital raised to $32.7 million and places data.world among the technology sector’s top-5 venture-backed Certified B Corporations of all time. The new capital will be used to fund rapid progress toward the company’s mission to build the most meaningful, collaborative, and abundant data resource in the world.
Syncsort, a global leader in Big Iron to Big Data solutions, announced the results from its annual “State of the Mainframe” survey, which underscore the rising importance of mainframe data as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We present the results of a recent insideBIGDATA survey, “insideHPC / insideBIGDATA AI/Deep Learning Survey 2016,” to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains.
Data science software maker, Dataiku, recently completed a worldwide survey that asked thousands of companies: how does your organization put data science into production? The results show that most companies using data science have unique challenges that fall into four different profiles: Small Data Teams, Packagers, Industrialization Maniacs, and The Big Data Lab.
Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world.
The annual State of Analytics Adoption Report by our friends at Logi Analytics provides insights for executives, product managers, and technology leaders on how broadly and deeply users are adopting business intelligence and analytics tools. The 2017 survey respondents included members of IT teams who provide analytics tools to end users, as well as the end users of BI and analytics tools.
NewVantage Partners, strategic advisors in big data and business innovation to Fortune 1000 businesses, has released the results of its 2017 5th Annual Big Data Executive Survey, entitled “Big Data Business Impact: Achieving Business Results through Innovation and Disruption.” The 2017 Big Data Executive Survey reports what executives from 50 Fortune 1000 firms see as the key factors driving big data adoption, investment – and success.
451 Research’s latest Voice of the Enterprise: Internet of Things (IoT) Organizational Dynamics survey of nearly 1,000 enterprise IT buyers worldwide reveals that 71% of enterprises are gathering data for IoT initiatives today. This is a three percentage point increase from the previous quarter’s Voice of the Enterprise: IoT Workloads and Key Projects survey.