Here's Why CRISIL is Investing into Deep Learning - ET CIO


"We are transforming the business analysis process through automation, aimed at making the life of every analyst focused on providing quality output rather than substantial manual efforts on data quality check, " Ramesh Lakshminarayanan, CIO, CRISIL told ETCIO. To improve its research reports and analytics, Crisil has been adopting automated data extraction including extraction of unstructured paragraphs, tables, etc which are automated to the data mapping (financial taxonomy mapping) and automatic text summarisation (Natural Language Generation, or NLG) of analyst opinion. Almost 90 percent of Crisil's key processes are data-driven. The company has initiated a large streamlining effort in 2019, in multiple phases. The first phase was to automate a lot of mundane web crawling/ extraction work, as the ratings agency collected a chunk of data from various sources on the web.

The Societal Significance of Artificial Intelligence


Popular expressions, for example, "artificial intelligence", "machine learning" and "Big Data" have without question become a significant topic in the present tech scene and they are digging in for the long-term. However, the advancement power behind Artificial Intelligence and its related perspectives have additionally discovered its way to the core phase of our society. Can Artificial Intelligence be utilized for the more noteworthy benefit of society? Also, what job should organizations play in it? While AI is certainly not a silver bullet, it can help handle a lot of our general society's most challenging issues on a social, economic and environmental level.

Artificial intelligence Part 3: Real Grid-Operations Benefits Aclara Blog


In Part 3 of our series on how utilities are using artificial intelligence, we look at how AI amplifies analytics for grid operations. Duke Energy saved some $130 million in avoided costs by using predictive data analytics to identify problems before they caused equipment failures. A utility in Brazil estimates savings in the range of $420,000 USD each month through better, analytics-based theft detection. Because, as an article published by Forbes notes, "Machine learning is a continuation of the concepts around predictive analytics, with one key difference: The AI system is able to make assumptions, test and learn autonomously." With these enhancements, data science will become more powerful than ever, and utilities stand to gain.

What is driving the machine identity crisis? - Help Net Security


Every machine needs a unique identity in order to authenticate itself and communicate securely with other machines. This requirement is radically changing the definition of machines--from traditional physical devices, like laptops and servers, to virtual machines, containers, microservices, IoT devices and AI algorithms. According to Kevin Bocek, vice president at Venafi, all of these device types have been critical to innovation and digital transformation--yet little is done to safeguard their identities. "While the number of machines in the cloud, hybrid infrastructure and enterprise networks is exploding, most organizations are still attempting to protect machine identities using human methods like spreadsheets," said Bocek. "However, this approach creates its own set of problems--businesses can't keep up with the changes in volume and are being exposed to unacceptable risks."

The Business Use of Artificial Intelligence Course (Dubai, United Arab Emirates - April 8-9, 2020) -


The "The Business Use of Artificial Intelligence" training has been added to's offering. Your competitors are using AI to analyze sales, what do you do? Organizations today are applying artificial intelligence capabilities to a wide variety of uses especially in operations such as for process enablement. Each organization is focusing on performance improvements using AI. This explosion of interest in AI poses a challenge to managers to effectively make sense of and use AI effectively.

Should Robots Have a Face?

NYT > Economy

Most of the retail robots have just enough human qualities to make them appear benign, but not too many to suggest they are replacing humans entirely. "It's like Mary Poppins," said Peter Hancock, a professor at the University of Central Florida, who has studied the history of automation. "A spoonful of sugar makes the robots go down." Perhaps no other retailer is dealing as intensely with the sensitivities around automation as Walmart, the nation's largest private employer, with about 1.5 million workers. The company spent many months working with the firm Bossa Nova and researchers at Carnegie Mellon University to design a shelf-scanning robot that they hope both employees and customers will feel comfortable with.

Augmenting intelligence: What 2020 Has in Store


Despite the benefits these technologies brought to businesses – and to workers themselves – the fear of job losses and lack of education around automation has marred the impact of these new innovations in the working world. In 2020, that will all change. A new model of partnership between humans and machines is emerging, focused on the value automation and humans working together can bring: augmented intelligence. In fact, Gartner believes that this will create up to $2.9 trillion of business value and 6.2 billion hours of worker productivity globally by 2021. Businesses who don't take advantage of AI while keeping employee satisfaction front-of-mind are likely to fall far behind in the global race for productivity and business value in uncertain economic times.

Top 10 Artificial Intelligence Trends for 2020


Artificial intelligence, machine learning, neural networks or whatever other fancy terms industry is coming out with for what is defined as the sophisticated computer technology that is becoming widely utilized to understand and improve business and customer experiences. I assume you have heard of it before, but the way it is defined today is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Digital IQ, as the measurement of how well an organization can understand its business processes and the content and data within them from a variety of critical perspectives, will play an increasingly important role in every digital transformation strategy as more enterprises come to the realization that they must have visibility into their operations. Digital Intelligence solutions will help organizations increase this business-critical ability by optimizing automation initiatives and complementing platforms like RPA and BPM. In 2020, more organizations will adopt digital intelligence technologies into their overarching digital transformation initiatives, as enterprises realize that these solutions illuminate paths to improved customer experience, reduce operating costs and sharpen competitive advantage.

Tesla driver who died in 'autopilot' crash was playing on phone, inquiry finds

The Guardian

A Tesla driver killed in a Silicon Valley crash was playing a video game on his smartphone at the time of his fatal crash, investigators said on Tuesday. The National Transport and Safety Board (NTSB) investigation found that Walter Huang, a 38-year-old Apple software engineer and game developer, made no attempts to stop his vehicle as it sped towards a crash barrier before the 2018 crash. Huang's Tesla Model X was in "Autopilot" mode and traveling at about 70 miles per hour when it crashed into a safety barrier and was struck by two other vehicles. He died in hospital from his injuries. "If you own a car with partial automation, do you not own a self-driving car. So don't pretend that you do," said the NTSB chairman, Robert Sumwalt.