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Deloitte disruption ahead IBM Watson


Disruption ahead: Deloitte's point of view on IBM Watson8 9. What makes Watson unique In technical terms, IBM Watson is an advanced open-domain question answering (QA) system with deep natural language processing (NLP) capabilities. At this point, the Watson Software as a Service (SaaS) platform is most effectively used to sift through massive amounts of text--documents, emails, social posts, and more--to answer questions in real time. Watson accepts questions posed by the user in natural language and provides the user with a response (or a set of responses) by generating and evaluating various hypotheses around different interpretations of the question and possible answers to it. Unlike keyword-based search engines, which simply retrieve relevant documents, Watson gleans context from the question to provide the user with precise and relevant answers, along with confidence ratings and supporting evidence. Its learning capabilities allow Watson to adapt and improve hypothesis generation and evaluation processes over time through interactions with users. Developers and other users can improve the accuracy of responses by "training" Watson. IBM is also continuing to expand Watson's capabilities to incorporate visualization, reasoning, ability to relate to users, and deeper exploration to gain a broader understanding of the information content. Watson recently launched a new platform service that has the ability to ingest and interpret still and video images, which is another significant type of unstructured data.

Big Data Technology and Services Market Analysis and Forecast by 2025 - Press Release - Digital Journal


Business organizations are constantly looking for solutions for managing vast amount of data that increases the business value. Incorporating of leading technological solutions such as big data technology and services enables the business organizations to identify vulnerable and sensitive data, which further helps in disclosing data patterns and correlations for better decision making process. Rockville, WA -- (SBWIRE) -- 07/09/2018 -- The data creation and consumption is growing by leaps and bounds. This has resulted in the increasing investment in big data analytics software, services, and hardware. Big data technologies are helping companies to gain useful information from both structured and unstructured data from various sources.

Biometrics Middleware Market Insights Covering Market Dynamics and Competitive Scenario through 2027 The Guardian Tribune


Biometrics-as-a-service model has been a key focus area among biometric service providers to cater evolving requirements of end-users in BFSI sector. High upfront capital investment continues to challenge the adoption of biometrics in the BFSI sector. Biometric service providers are focusing on subscription-based and predictable model offerings to the BFSI industry, in order to increase their market penetration. Faster installation and execution of the BaaS model compared to traditional models has further, and maintenance and infrastructure costs covered by the providers is further expected to drive demand for biometrics-as-a-service in the BFSI sector. Although BaaS is gaining popularity as a feasible model, higher risk of cyberthreats are associated with it.

IBM Watson Drives Wave of Innovation in Consumer Electronics


Berlin - 03 Sep 2016: at IFA Berlin – one of the world's leading trade shows for consumer electronics – IBM (NYSE: IBM) was joined by some of the biggest names in the industry to highlight how Watson IoT technologies are poised to drive a new wave of innovation in the home and play a key role in one of the biggest technological transformations in the history of the world. According to Harriet Green, Global Head of IBM Watson IoT: "millions of sensors are giving appliances and devices eyes and ears, increasing their inbuilt intelligence and enabling them to interact with us better." "The challenge is that over next few years, the Internet of Things will become the biggest source of data on the planet. That's where IBM's Watson cognitive computing system comes in. Watson uses machine learning and other techniques to understand this data and turn it into insight, which can help automate tasks, enable manufacturers to design better products, innovate new services and enhance our overall quality of life – especially in the home.

Here Is IBM's Blueprint For Winning The AI Race

International Business Times

One of the cornerstones of International Business Machines' (NYSE:IBM) ongoing transformation is cognitive computing, which encompasses artificial intelligence and other related technologies. IBM is a business that serves other businesses, and its approach to artificial intelligence (AI) stays true to its purpose. IBM Watson, the company's well-known AI system, is being used in industries like healthcare and financial services to augment the skills of professionals in those fields. The long-term potential of the technology is immense. This article originally appeared in the Motley Fool. IBM has made a bet that cognitive computing will be a big part of its future.