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Infographic: It’s 2020, is your business AI-ready?

60% of business leaders urgently need a strategy for deploying artificial intelligence in their organizations, but only half of their organizations have a plan. This infographic by our friends over at Noodle.ai outlines what AI can do for businesses and how to go about implementing a plan.

Beyond the AI Hype: Four Factors Businesses Should Consider Before Investing in AI

Despite significant hype, most companies still struggle with how to successfully integrate artificial intelligence into their businesses, according to Lux Research’s new report on the state of AI and how companies can improve decision-making around AI.

Accelerate Value at your Organization by Becoming Data-driven

In this special guest feature, Penny Wand, director in West Monroe’s technology practice, says data – it’s what organizations have been looking to understand, mine and turn into actionable insights for years. Many firms would say that they’ve already nailed it when it comes to data. And – they’d be wrong. Wand provides thoughts on actionable steps orgs can take to analyze and apply insights from their data effectively.

Introducing Apache Druid

Sponsored Post Apache Druid was invented to address the lack of a data store optimized for real-time analytics. Druid combines the best of real-time streaming analytics and multidimensional OLAP with the scale-out storage and computing principles of Hadoop to deliver ad hoc, search and time-based analytics against live data with sub-second end-to-end response times. Today, […]

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

“Above the Trend Line” – Your Industry Rumor Central for 1/15/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

How AI is Demystifying B2B Customer Loyalty

In this special guest feature, Dan Zimmerman, Chief Product and Information Officer at MSTS, discusses how AI can help crack the code of brand loyalty. Using AI, it’s possible to compare two seemingly-identical buyers, and accurately predict which will continue purchasing from the seller. This allows companies to identify unique opportunities and better pinpoint where to focus resources.

The insideBIGDATA IMPACT 50 List for Q1 2020

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!

oneAPI: – A Unified Cross-Architecture, High Performance Programming Model Designed to Help Shape the Future of Application Development

In this article, we’ll dive into the newly announced oneAPI, a single, unified programming model that aims to simplify development across multiple architectures, such as CPUs, GPUs, FPGAs and other accelerators. The long-term journey is represented by two important first-steps – the industry initiative and the Intel beta product.

Infographic: The People and Tech Behind Data Science

Our friends over at Noodle.ai produced the infographic below that outlines what data scientists do and the tech they rely upon to get results. Data science: math, data, AI & the scientific method. Data scientists use heterogeneous data to solve complex problems.