IBM (NYSE: IBM) unveiled "Project DataWorks," a Watson initiative that is a cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making. Businesses today understand the competitive advantage of gaining insights from data. However, obtaining those insights can be increasingly complex, and most of this work is done by highly skilled data professionals who work in silos with disconnected tools and data services that may be difficult to manage, integrate, and govern. Also, because data is never static, businesses must continually iterate their data models and products--often manually--to benefit from the most relevant, up-to-date insights. Project DataWorks can help businesses break down these barriers by connecting all data and insights for their users.
IBM is again at a crossroads as its stock price languishes and market analysts question if it is on the right path. The Company has doubled down on predictive analytics as a core element of its transformation strategy – however, the decline in its low growth legacy businesses is outpacing the growth in its new business initiatives. Consequently, overall revenue has declined in each of the past fourteen quarters and earnings have continued to disappoint, resulting in the stock price and market value of the Company declining; leading to talk of activist investors, spinning off the Watson business and other perceived value creation strategies. This blog is not an analysis of the equity value of IBM's stock, rather it is an attempt to review the progress of the Company's investments in analytics. Currency movements, share buybacks and other financial events will influence the Company's value, but its core strategy will be the ultimate determinant of its value.
Yactraq's machine learning driven audio mining offering makes custom vocabulary based speech analytics affordable for any organization, including SMB's and enterprise business unit's. Yactraq has been selected in a Gartner Cool Vendor (Smart Machines) 2016 among the first 20 companies to be showcased by IBM Watson's Cognitive Gallery and is an IP for Defense partner of Intellectual Ventures, the world's largest patent bank. Q: You've developed a breakthrough artificial intelligence platform for audio-mining and speech analytics; can you give us more insights into your technology? A: Beyond basic functionality offered by legacy audio-mining systems, Yactraq's OmniTraq audio mining product offers revolutionary machine learning driven capabilities that enable our clients to detect customer sentiment and monitor service quality in new and powerful ways, across a range of verticals. OmniTraq can be viewed as an analytics, reporting and search layer that depends on two key technology platforms.
"Hindsait's main goal has been to develop a robust, AI platform that specifically addresses the needs of healthcare organizations," said Frost & Sullivan Research Analyst Harpreet Singh Buttar. "This platform assists in reducing unnecessary health services, eliminating errors and biases in care delivery and improving overall quality of care." Hindsait's system has proven to be highly adaptable and scalable, based on unique use case requirements. Their capabilities range from natural language processing (NLP) and machine learning to cognitive computing and predictive analytics that directly helps providers and payers resolve healthcare delivery issues. Hindsait boasts a wide range of services, right from analyzing unstructured data, such as clinical notes, patient charts, and prescriptions, to real-time optimization of diagnostic and treatment plans.
Today unveiled "Project DataWorks," an initiative from Watson that is the industry's first cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making. Project DataWorks is designed to make it simple for business leaders and data professionals to collect, organize, govern and secure data, so they can gain the insights needed to become a cognitive business. We are at an inflection point in the big data era," said Bob Picciano, senior vice president, IBM Analytics. "We know that users spend up to 80 percent of their time on data preparation, no matter the task, even when they are applying the most sophisticated AI. Project DataWorks helps transform this challenge by bringing together all data sources on one common platform, enabling users to get the data ready for insight and action, faster than ever before."