IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.

Rapid advances in AI and machine learning are defining cybersecurity's future daily. Identities are the new security perimeter and Zero Trust Security frameworks are capitalizing on AI's insights to thwart breaches in milliseconds. Advances in AI and machine learning are also driving the transformation of endpoint security toward greater accuracy and contextually intelligence. Gartner predicts $137.4B will be spent on Information Security and Risk Management in 2019, increasing to $175.5B in 2023, reaching a CAGR of 9.1%. Cloud Security, Data Security, and Infrastructure Protection are the fastest-growing areas of security spending through 2023.

I've just updated The Popularity of Data Science Software to reflect my take on Gartner's 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40 pages of my report, here's just the new section: IT research firms study software products and corporate strategies, they survey customers regarding their satisfaction with the products and services, and then provide their analysis on each in reports they sell to their clients. Each research firm has its own criteria for rating companies, so they don't always agree. However, I find the detailed analysis that these reports contain extremely interesting reading. While these reports focus on companies, they often also describe how their commercial tools integrate open source tools such as R, Python, H2O, TensoFlow, and others.

Forrester Research has identified 14 leading tools for predictive analytics and machine learning. Vendors included in the research firm's assessment included: Alpine Data, Angoss, Dataiku, Domino Data Lab, FICO, H2O.ai, IBM, KNIME, Microsoft, RapidMiner, Salford Systems, SAP, SAS, and Statistica. Each of these vendors has a comprehensive, differentiated PAML solution; a standalone PAML solution; install base and revenue history; and motivated client inquiries. Seven predictive analytics and machine learning products were selected as keaders among the 14 evaluated. Angoss KnowledgeSTUDIO "Angoss KnowledgeSEEKER is a must-have for data science teams that wish to use beautiful and comprehensive visual tools to build decision and strategy trees," according to Forrester.

This paper examines the evolving role of the citizen data scientist, empowered to fill in where there are not enough traditional data scientists to go around. Powerful software tools like Statistica allow trained data scientists to develop models around advanced data analytics, machine learning and algorithmic business, then make them available to the line-of-business (LOB) managers and users who need them to make better decisions.

TIBCO Software Inc., a global leader in integration, API management, and analytics, today announced it has entered into an agreement to acquire Statistica, a leader in data science. The acquisition will augment TIBCO's analytics product offerings, adding new capabilities aimed at making it easier for data scientists to unlock the power of machine learning and leverage it in a variety of applications, such as those analyzing the often large amounts of data produced in IoT systems. The transaction remains subject to customary conditions and is expected to close in the coming weeks. Statistica will enable users to more rapidly uncover insights from source data. It will also become part of the TIBCO Insight Platform to empower a broader audience of business users with these analytical capabilities and allow actions to be triggered in related systems, ensuring insights turn into the best outcomes for the business.