Automated Machine Learning Drives Intelligent Business :

Even as enterprises explore how artificial intelligence can help their organizations and people discuss the relationship between humans and software, automated machine learning tools continue to simplify deployment across all layers.

Staggering predictions were shared at the 2017 Gartner Symposium earlier this month. By 2021 Gartner predicts, artificial intelligence augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. It is no wonder why companies are moving swiftly to embrace these emerging technologies to assist people and attain a competitive advantage.

Automated machine learning represents a truly transformational opportunity. Next generation business solutions powered by automated machine learning are an agent of change. Automated machine learning helps organizations better serve customers, improve business processes, solve complex problems and optimize outcomes when and where decisions are made. The goal isn’t necessarily to replace humans – it is to help them.

Airtel Looks Forward To Introducing AI Based Services To Its Customers, Partners With Amdocs

In an interesting development around the use of artificial intelligence and machine learning in the telecom sector, Bharti Airtel, one of the biggest global telecommunications services company has partnered with Amdocs, software solutions provider. It has created an innovation foundry to bring new services to Airtel’s customers in India. With this partnership that includes a long term contract, Airtel intends to bring cutting edge technology such as artificial intelligence based services to its customers in India. Amdoc plans to deploy machine learning and advanced AI based technologies across Airtel’s business, by leveraging its innovation centers, delivery expertise and startup ecosystem.

Amdocs plans to leverage its innovation centres, delivery expertise and its ecosystem of startups  to deploy machine learning and advanced artificial intelligence based technologies across multiple lines of Airtel’s business to self heal operational issues.  Enabling a seamless customer experience, the collaboration also intends to introduce smartbots into digital channels and activating new services.

Facebook picks Bengaluru company for marketing partnership

Bengaluru-based marketing analytics firm RainMan Consulting has become one of the first firms in Asia to join Facebook as a marketing mix modelling or MMM partner.

The partnership with the American social networking company will allow RainMan Consulting to access information directly from Facebook, Instagram and Audience Network on behalf of their clients in Asia. This will allow for more accurate and actionable insights for advertisers who engage in cross-channel measurement and planning. Data will be incorporated into RainMan’s ongoing and future analytic engagements, along with the clients’ own proprietary data, the company said.

IBM, MIT to pursue joint research in artificial intelligence:

IBM recently announced that it will make a 10-year, $240 million investment to create the MIT-IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries such as healthcare and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

Machine learning maximizes micro services impact :

This year we will see activity increase for the integration of machine learning and micro services, Schroeder says. Previously, micro services deployments have been focused on lightweight services and those that do incorporate machine learning have typically been limited to “fast data” integrations that were applied to narrow bands of streaming data. In 2017, we’ll see development shift to stateful applications that leverage big data, and the incorporation of machine learning approaches that use large of amounts of historical data to better understand the context of newly arriving streaming data.

 

Google creates AI that can teach itself and ‘isn’t constrained by the limit of human knowledge:

Google has developed a computer program that teaches itself.  The company’s AI division, DeepMind, has unveiled AlphaGo Zero, an extremely advanced system that managed to accumulate thousands of years of human knowledge within days. DeepMind says it’s the most powerful program it has created, because it isn’t “constrained by the limits of human knowledge”. AlphaGo Zero is the latest evolution of AlphaGo, the first computer program to ever defeat a world champion at the ancient Chinese game of Go.

“Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. In many cases, these are specialist systems that leverage enormous amounts of human expertise and data,” said DeepMind.