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Infographic: AI – The Secret to Sustainable Commerce

Artificial intelligence has the ability to streamline business operations by analyzing vast amounts of data to target inefficiencies in the system. The infographic below, courtesy of Noodle.ai, outlines how AI can streamline the supply chain and lead to a more sustainable business and happier customers.

3 Non-Obvious Keys to Being AI-Ready

Data scientists know what they are doing, and most organizations have no cause to worry about the soundness of their machine learning (ML) algorithms. Where AI readiness typically lags is in other parts of the process. In most organizations today, the process of building, deploying and maintaining AI systems bears no resemblance to traditional IT. Alegion explores three key strategies your business can employ to be AI-ready.

The insideBIGDATA IMPACT 50 List for Q2 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI

Splice Machine, the operational artificial intelligence (AI) data platform, announced the launch of a beta program for ML Manager, a native data science and machine learning platform. Operating on top of Splice Machine’s data platform, ML Manager empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.

MemVerge Launches Memory-Converged Infrastructure to Power the Most Demanding AI and Data Science Enterprise Workloads

MemVerge, the inventor of Memory-Converged Infrastructure (MCI), launched from stealth and introduced the first system that eliminates the boundaries between memory and storage to power the world’s most demanding data-centric enterprise workloads.

The AI Ethics Deficit — 94% of IT Leaders Call for More Attention to Responsible and Ethical AI Development

The results of a new study on AI ethics was released. According to research conducted by Vason Bourne on behalf of SnapLogic, studied the views and perspectives of IT decision-makers (ITDMs) across industries, asking key questions such as: who bears primary responsibility to ensure AI is developed ethically and responsibly, will global expert consortiums impact the future development of AI, and should AI be regulated and, if so, by whom?

SAS Announces $1 Billion Investment in AI at #GTC19

SAS, driving the future of analytics, is investing $1 billion in AI over the next three years through software innovation, education, expert services and more. The commitment builds on SAS’ already strong foundation in AI which includes advanced analytics, machine learning, deep learning, natural language processing (NLP) and computer vision. Educational programs and expert services will equip business leaders and data scientists for the future of AI, with the technology, skills and support they need to transform their organizations.

Unexpected Career Paths That Use Big Data

In this contributed article, freelance human Avery Phillips suggests that with big data now permeating so many different aspects of our lives, it was only a matter of time before new career paths opened up that were more than just big data adjacent. While some of these industries offering up big data-related jobs aren’t too surprising, there are a few that might surprise anyone.

Transformative Solutions for Accelerating AI, Analytics and Deep Learning at NVIDIA #GTC19

One pivotal message received by attendees of this week’s NVIDIA GPU Technology Conference (GTC) in Silicon Valley is the importance of game-changing storage solutions and applications that empower users to accomplish their most challenging AI objectives.

How AI Can Transform Customer Experience By Listening Better to the Voice of Customers

In this contributed article, Ganes Kesari, Co-founder and Head of Analytics at Gramener, discusses OpenAI a breakthrough considered so dangerous that the developer stopped short of sharing the code, and instead, released a limited version. In this article, we’ll take a sneak peek into this landmark, and explore how such advances in AI-driven natural language processing can be leveraged by enterprises.