How AI and Cognitive Systems Will Impact Your Business and Your Cloud

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It’s time to take a quick look into the not-so-distant future. New technologies around cognitive systems and artificial intelligence (AI) are already impacting organizations in a variety of industries. According to IDC, widespread adoption of cognitive systems and AI across a broad range of industries will drive worldwide revenues from nearly $8.0 billion in 2016 to more than $47 billion in 2020.

“Software developers and end user organizations have already begun the process of embedding and deploying cognitive/artificial intelligence into almost every kind of enterprise application or process,” David Schubmehl, research director, Cognitive Systems and Content Analytics at IDC said in a statement. “Recent announcements by several large technology vendors and the booming venture capital market for AI startups illustrate the need for organizations to be planning and undertaking strategies that incorporate these wide-ranging technologies. Identifying, understanding, and acting on the use cases, technologies, and growth opportunities for cognitive/AI systems will be a differentiating factor for most enterprises and the digital disruption caused by these technologies will be significant.” Continue reading…

Cloud & Future: Business Intelligence 2.0

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The biggest change in the hosting industry during  2017 is going to watch is Rise of Business Intelligence 2.0 boosted by high-performance computing cloud and deep learning algorithms. BI 2.0 is a Hybrid Engine of three parts Artificial Intelligence(AI), Machine Learning(ML)  and Deep Learning(DL) of business analytics computing. Artificial Intelligence will help both consumer and enterprise market by delivering autonomous responses by providing simple solutions and problem-solving models. Advanced Machine Learning (ML) will sharpen the embedded intelligence of response performance, efficiency, and effectiveness of introducing new models over periods of time. And Deep Learning will provide knowledge, analytics, trends and business innovations.

 

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Hybrid engine of AI, ML & DL will lead to Business Intelligence 2.0 in the following

  • Existing Supply Inputs
  • Demand-Supply Objectives
  • Precise Resource Demand Graph
  • Prioritising Demand Nodes
  • Optimum Resource Utilization Models

Tactical Programs Analysis of Live Statistics & Control Programs Business Intelligence testing is currently done in various areas like

  • Distribution Channels – WallMart
  • Health Care – Siemens
  • Sports – Nike
  • Banking – Citi Group
  • Share Brocking – NASDAQ
  • Ecommerce  – Amazon.com
  • Beverages – Starbucks

Continue reading…