Orange highlighted the importance of data and AI in its innovation model, marking their use as crucial for developing smarter networks and enhancing operational efficiency. At a webinar organised by the company today (18 May), SVP of Orange Labs Networks Emmanuel Lugagne-Delpon said AI could "bring value to almost every phase of the network lifecycle", including planning and design, investment optimisation, smart maintenance and security. He pointed to a use case from Spain where AI and machine learning (ML) were used to determine which sites were most profitable and how to reduce churn levels. This delivered a 10 per cent to 20 per cent improvement in its capex efficiency, with the operator now planning to replicate the model in other markets. In another example, Orange used AI to detect international call fraud, reducing related costs by €37 million, an approach Lugagne-Delpon said was "highly replicable" for other transactions.

"Robotics technology is rapidly moving out of the lab and into the real world." As society looks for ways to reduce human exposure to novel coronavirus, digital technology has emerged front stage center. Computers, smartphones, videoconferencing tools and cloud-based services have curtailed the need for people to congregate, and risk becoming sick or dying. Yet, for many tasks -- tending to patients in hospitals, managing grocery stores, delivering food -- social distancing is not an option. Human workers can't escape the risk of being exposed to COVID-19.

The future of B2B marketing is poised by Artificial Intelligence. The giant business brands some times fear the idea of moving towards marketing automation using AI technology. AI is the one-person show for transforming the B2B sales and marketing. The listed Artificial Intelligence marketing statistics will show the picture of significance. In the present digital space, the buzzing word is Artificial Intelligence as it helps to implement effective interaction with the brands or customers, to get the well-structured data, etc.

Most organizations today are struggling with how to advance in their use of data (see our recent article on Why Your AI Project is Going to Fail). The good news is that it's straightforward (and doesn't require huge investments in tech and lots of new tech hires) to use data to grow your team's capabilities and deliver more value to your employees. The first step is to recognize where you stand today in your journey to AI maturity and that's exactly what this first tool in the Data to AI Playbookshows you. Let's look at the five stages of the Data to AI Maturity journey. We consistently hear stories from sales management about their frustrations with manual data processing.

Not so long ago, the concept of a fully automated store seemed something of a curiosity. Now, in the midst of the COVID-19 pandemic, the idea of relying on computers and robotics, and checking out groceries by simply picking them off the shelf doesn't seem so peculiar after all. Part of my research involves looking at how we deal with complex artificial intelligence (AI) systems that can learn and make decisions without any human involvement, and how these types of AI technologies challenge our current understanding of law and its application. How should we govern these systems that are sometimes called disruptive, and at other times labelled transformative? I am particularly interested in whether -- and how -- AI technologies amplify the social injustice that exists in society.

Using ORNL's Summit supercomputer, scientists can comb through millions of medical journal articles looking for possible connections among FDA-approved drug therapies and known COVID-19 symptoms. Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs, and effective measures that could suppress or stop the spread of COVID-19. A team comprising researchers from ORNL and Georgia Tech are using artificial intelligence methods designed to unearth relevant information from about 18 million available research documents. They looked for connections among 84 billion concepts and cross-referenced keywords associated with COVID-19 -- such as high fever, dry cough, and shortness of breath -- with existing medical solutions. "Our goal is to assist doctors' and researchers' ability to identify information about drug therapies that are already approved by the U.S. Federal Drug Administration," said ORNL's Ramakrishnan "Ramki" Kannan.

It may be obvious that the model is biased if it explicitly uses demographic variables. Hiring algorithms may rank females lower because motherhood often disrupts career performance. It is usually difficult to obtain explicit data signals, so modelers turn to proxies that implicitly provide the same signals. A model may just use zip code, but zip code correlates with race and income. P2P lenders commonly develop risk scores based on correlations with neighborhoods, zip codes, stores customers shop at.

Rabindranath Tagore once said, "Faith is the bird that feels the light when the dawn is still dark". The darkness that looms over the world at this moment is the curse of the COVID-19 pandemic, while the bird of human freedom finds itself caged under lockdown, unable to fly. Enthused by the beacon of hope, human beings will soon start picking up the pieces of a shared future for humanity, but perhaps, it will only be to find a new, unfamiliar world order with far-reaching consequences for us that transcend society, politics and economy. Crucially, a technology that had till now been crawling -- or at best, walking slowly -- will now start sprinting. In fact, a paradigm shift in the economic relationship of mankind is going to be witnessed in the form of accelerated adoption of artificial intelligence (AI) technologies in the modes of production of goods and services.

Many of her neighbors have fallen on hard times since Covid-19 shut the city last month, but she's been lifted into the lap of luxury. Akol, who is 28, works for Samasource, a company that labels images and other data for companies such as Google, creating the feedstock for artificial intelligence projects like self-driving cars. She's the main breadwinner in the busy Nairobi apartment she shares with her 7-year-old son and her two brothers, ages 8 and 24. But Akol hasn't seen her family or apartment for around a month because, like most of Samasource's Nairobi staff, she now lives and works from a resort hotel. Her window at the four-star Ole Sereni overlooks the grassy plains of Nairobi National Park--a major change from the company's open-plan office next to a freeway.

The magnitude of the Covid-19 pandemic will largely depend on how quickly safe and effective vaccines and treatments can be developed and tested. Many assume a widely available vaccine is years away, if ever. Others believe that a 12- to 18-month development cycle is a given. Our best bet to reduce even that record-breaking timeline is by using artificial intelligence. The problem is twofold: discovering the right set of molecules among billions of possibilities, and then waiting for clinical trials. These processes ordinarily take several years, but AI holds the key to radically shortening both.