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. 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. 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.

Big data is in many ways still a wild frontier, requiring wily smarts and road-tested persistence on the part of those hoping to find insight in all the petabytes. On Tuesday, IBM announced a new platform it hopes will make things easier. Dubbed Project DataWorks, the new cloud-based platform is the first to integrate all types of data and bring AI to the table for analytics, IBM said. Project DataWorks is available on IBM's Bluemix cloud platform and aims to foster collaboration among the many types of people who need to work with data. Tapping technologies including Apache Spark, IBM Watson Analytics and the IBM Data Science Experience launched in June, the new offering is designed to give users self-service access to data and models while ensuring governance and rapid-iteration capabilities.

IBM (NYSE:IBM) has launched a new Watson initiative, called "Project DataWorks." For growing revenues and profitability, modern businesses depend on extracting insights from data, which is an extremely complex job. Project DataWorks is a comprehensive solution aiming to eliminate the complexities. Project DataWorks is available on IBM's cloud platform Bluemix. I believe this new offering will help IBM significantly grow its business analytics revenue, which was 17.9 billion in 2015.

IBM's aggressive push into the data analytics market continued today with the announcement of Project DataWorks, a Watson initiative that IBM said is the first cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making. Project DataWorks is designed to lower the complexity for business managers and data professionals to collect, organize, govern, secure and generate insight from multi-sourced, multi-format data. The goal: become what IBM calls "a cognitive business." "It's a system that will on-board data, tools, users, apps, all in a scalable and governed way," Rob Thomas, VP of Products, IBM Analytics, told EnterpriseTech. "The purpose is simple: we are preparing all data within a company for use by AI. We're helping people leap in to the future around AI and machine learning."

As the Publisher and Editor for App Developer Magazine, Richard has several industry recognitions and endorsements from tech companies such as Microsoft, Apple and Google for accomplishments in the mobile market. He was part of the early Google AFMA program, and also involved in the foundation of Google TV. He has been developing for mobile since 2003 and serves as CEO of Moonbeam Development, a mobile app company with 200 published titles in various markets throughout the world. Richard is also the founder of LunarAds, a mobile cross-promotion and self-serv mediation network for developers. He has been a featured presenter at trade-shows and conferences, and stays active with new projects relating to mobile development.

Cognitive business took a bold leap forward in New York City the week of 26 September 2016. At two events on Manhattan's west side, IBM led customers, partners and industry at large in an exploration of how to put machine learning, artificial intelligence (AI), and big data analytics to work. At the extremely well-attended IBM DataFirst Launch Event at Hudson Mercantile, the chief news was the announcement of Project DataWorks. This new, cloud-based offering provides a self-service environment for teams of data scientists, data engineers and other professionals to collaboratively develop, iterate and deploy sophisticated AI, cognitive computing, machine learning and other advanced analytics. Check out what Dinesh Nirmal, vice president, IBM Analytics, had to say about DataWorks in action during the Strata Hadoop World 2016 conference.

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." Businesses today understand the competitive advantage of gaining insights from data. However, obtaining those insights can be ...

Big data is in many ways still a wild frontier, requiring wily smarts and road-tested persistence on the part of those hoping to find insight in all the petabytes. On Tuesday, IBM announced a new platform it hopes will make things easier. Dubbed Project DataWorks, the new cloud-based platform is the first to integrate all types of data and bring AI to the table for analytics, IBM said. Project DataWorks is available on IBM's Bluemix cloud platform and aims to foster collaboration among the many types of people who need to work with data. Tapping technologies including Apache Spark, IBM Watson Analytics and the IBM Data Science Experience launched in June, the new offering is designed to give users self-service access to data and models while ensuring governance and rapid-iteration capabilities. Project DataWorks can ingest data faster than any other data platform, from 50 to hundreds of Gbps, deriving from sources including enterprise databases, the internet of things (IoT) and social media, according to IBM.

IBM's Project DataWorks in action: A NYC-based startup that develops clean energy projects in American inner cities used Project DataWorks to build a cognitive application that performs a comprehensive energy audit of individual properties to simulate energy savings and ultimate determine the correct mix of high-efficiency technology to reduce each customer's energy consumption. IBM's Project DataWorks uses Watson Analytics to analyze and create complex visualizations IBM's Project DataWorks uses Watson Analytics and natural language processing to analyze and create complex visualizations with one line of code – like this one, which illustrates correlations between product purchases by customers of a sporting goods store. IBM's Project DataWorks helps users access and gain insights from the 90% of unstructured data that goes untapped by organizations (according to IDC). The Console pictured here provides a snapshot that categorizes and previews an organization's data assets for easy access while also providing a full audit trail that allows users to understand who else on their team is interacting with the data and how.

Big data is in many ways still a wild frontier, requiring wily smarts and road-tested persistence on the part of those hoping to find insight in all the petabytes. On Tuesday, IBM announced a new platform it hopes will make things easier. Dubbed Project DataWorks, the new cloud-based platform is the first to integrate all types of data and bring AI to the table for analytics, IBM said. Project DataWorks is available on IBM's Bluemix cloud platform and aims to foster collaboration among the many types of people who need to work with data. Tapping technologies including Apache Spark, IBM Watson Analytics and the IBM Data Science Experience launched in June, the new offering is designed to give users self-service access to data and models while ensuring governance and rapid-iteration capabilities. Project DataWorks can ingest data faster than any other data platform, from 50 to hundreds of Gbps, deriving from sources including enterprise databases, the internet of things (IoT) and social media, according to IBM.