IBM Watson Services: Real-time Decoding of Consumer Choices and Reducing Process Downtime Attributes fuelling Adoption

Posted on 2019-07-03 by Mark Hub in Accounting // 0 Comments

Advancements in the IBM Watson ecosystem are powering analytics and data with long-term value. Watson is offering value to oncology, suggesting tailored treatment procedures for patients on account of their unique medical records. Watson facilitates healthcare professionals in crunching large data volumes for identifying effective treatments with high success probability, thereby witnessing increased penetration in the industry. Finance organizations such as Citi have partnered with Watson for exploring use of its technology in consumer banking solutions. Managing regulatory and compliance controls have been made simple for these organizations post-development of cognitive technologies dedicated for consumer insight. This has created new opportunities for IBM Watson in the banking & finance sector.

Customer expectations are on the rise, with increased integration of technology into retail models. In order to tap into the upward trend, IBM Watson is leveraging the vigour of cognitive insight and digital technology for offering more personalized user experience. Demand from IBM Watson services will continue to be driven by growing opportunities for cognitive insights in the retail sector in the forthcoming years. A new Fact.MR report has envisaged the IBM Watson services market to reflect an exponential growth over the period of forecast, 2018 to 2028. Sales of IBM Watson services worldwide are foreseen to bring in over US$ 20,000 Mn revenues by 2026-end.

IBM Watson Services Market: Fundamental Shortcomings to Confine Growth Potential

IBM Watson services involve time-intensive laborious training, with the need for experts to feed enormous quantity of well-organized data into the platform for drawing insightful conclusions. Additionally, it can draw conclusions based only on body of data that it has been or being trained on. “Well-organized” requirement is a key challenge confining penetration of IBM Watson services, as unprepared sets of data are typically insufficient.

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IBM Watson gains Momentum by Facilitating Coding of Natural Language Processing

IBM Watson language services are poised to hold bulk shares of the market over the forecast period. IBM Watson integrates real-time computing power & machine learning, into language processing for sifting through immense unstructured data, such as social posts, journals, emails, and documents, for providing solutions faster. Better & improved understanding of communications – particularly natural language processing & translation – is a key agenda of IBM Watson language services, which in turn has propelled their demand among data centers.

Communication service providers (CSPs) are leveraging Watson services, such as natural language conversation and understanding, in not only identifying problems, but also resolving them. Incorporating a discovery process and deep reasoning into conversational system, IBM Watson provides context around differences in conversational agents, and their value offerings to businesses. This has further enables CSPs in winning consumer loyalty by using conversational agents.

IBM Watson Services: Real-time Decoding of Consumer Choices and Reducing Process Downtime Attributes fuelling Adoption

IBM Watson services aid retailers in decoding consumer choices by providing insights into latest trends, and key aspects of marketing. This further enable retailers in improving the profitability, and enhancing their business efficiency. Operating more effectively using analytics, IoT, and cognitive computing, IBM Watson helps manufacturing plants in reducing downtime and improving the overall operational quality.

Apart from increasing uptime, IBM Watson also helps manufacturing industry in lowering risks in their processes by analyzing machines, handling equipment repairs, and predicting outages. This further enables manufacturers in adapting their factory floors in real-time, for reducing downtime, and streamlining operations.

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