Sign in to report inappropriate content. As I get ready to head out to Las Vegas for Juniper NXTWORK 2019 with Tech Field Day, I'm wondering what the big deal is. Why is AI and machine learning so important for networking? What are they trying to solve or add that makes my life better?

In the engine room of the economy, artificial intelligence (AI) is being heralded as a driver of productivity and commercial growth. With an ability to process huge quantities of data quickly, the technology can increase efficiency, improve the decision-making process by introducing new insights and speed up delivery. AI changes the definition of "production" and promises to transform how we measure economic growth for countries across the world. Research by Accenture shows that, by 2035, AI could double annual global economic growth rates by creating a new virtual workforce to boost productivity, enhancing the skills and ability of existing staff and driving innovations in the economy. Over time, companies using AI will not only do things differently, they will also do different things.

Wipro Limited (NYSE:WIT) has been recognized as a leader by global research and advisory firm Forrester Research Inc. in the latter's recently-published report, The Forrester Wave: AI Consultancies, Q3 2019. "AI and Intelligent Automation is changing the very fabric of society, business, and governance. It is disrupting processes, creating new business models and delivering exceptional customer experiences. One of the major hurdles in harnessing the power of AI by businesses is the challenge posed by change adoption and scaling AI culture to enterprise level. Using AI led Automation Advisory and Wipro HOLMES platform, we help enterprises overcome these challenges by creating outcome-based roadmaps, agile delivery, innovative service models and seamless customer experience. Our customers have spoken on our behalf in this report and we believe that being recognized as a Leader in the Forrester Wave is a testament to our AI and Automation transformation and consulting services capabilities."

Artificial intelligence appears to be "widening inequality," and its deployment should be subject to tough regulations and limits, especially for sensitive technologies such as facial recognition, a research report said Thursday. The AI Now Institute, a New York University center studying the social implications of artificial intelligence, said that as these technologies become widely deployed, the negative impacts are starting to emerge. The 93-page report examined concerns being raised "from AI-enabled management of workers, to algorithmic determinations of benefits and social services, to surveillance and tracking of immigrants and underrepresented communities," the researchers wrote. "What becomes clear is that across diverse domains and contexts, AI is widening inequality, placing information and control in the hands of those who already have power and further disempowering those who don't." The researchers said AI systems are being deployed in areas such as healthcare, education, employment, criminal justice "without appropriate safeguards or accountability structures in place."

Every week, my team at Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week's issue below. You can sign up for it below. Amazon, Microsoft and Google have embarked in a frantic race to dominate the artificial intelligence(AI) market. To some extent, AI has become one of the few areas of differentiation between the three cloud giants.

New York: Researchers at University of Texas Southwestern have developed a software tool that uses Artificial Intelligence (AI) to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes. The spatial distribution of different types of cells can reveal a cancer's growth pattern, its relationship with the surrounding micro-environment, and the body's immune response. But the process of manually identifying all the cells in a pathology slide is extremely labor intensive and error-prone. "To make a diagnosis, pathologists usually only examine several'representative' regions in detail, rather than the whole slide. However, some important details could be missed by this approach," said Dr. Guanghua "Andy" Xiao, corresponding author of a study published in EbioMedicine.

BANGKOK (Thomson Reuters Foundation) - The use of facial recognition technology at a popular Indian cafe chain that triggered a backlash among customers, led to calls from human rights advocates on Monday for the government to speed up the introduction of laws to protect privacy. Customers at Chaayos took to social media during the last week to complain about the camera technology they said captured images of them without their consent, with no information on what the data would be used for, and no option to opt out. While the technology is marketed as a convenience, the lack of legislative safeguards to protect against the misuse of data can lead to "breaches of privacy, misidentification and even profiling of individuals", said Joanne D'Cunha, associate counsel at Internet Freedom Foundation, a digital rights group. "Until India introduces a comprehensive data protection law that provides such guarantees, there needs to be a moratorium on any technology that would infringe upon an individual's right to privacy and other rights that stem from it," she told the Thomson Reuters Foundation from New Delhi. A statement from Chaayos said the technology was being tested in select cafes and was aimed at reducing purchase times for customers.

BANGKOK (Thomson Reuters Foundation) - The use of facial recognition technology at a popular Indian cafe chain that triggered a backlash among customers, led to calls from human rights advocates on Monday for the government to speed up the introduction of laws to protect privacy. Customers at Chaayos took to social media during the last week to complain about the camera technology they said captured images of them without their consent, with no information on what the data would be used for, and no option to opt out. While the technology is marketed as a convenience, the lack of legislative safeguards to protect against the misuse of data can lead to "breaches of privacy, misidentification and even profiling of individuals", said Joanne D'Cunha, associate counsel at Internet Freedom Foundation, a digital rights group. "Until India introduces a comprehensive data protection law that provides such guarantees, there needs to be a moratorium on any technology that would infringe upon an individual's right to privacy and other rights that stem from it," she told the Thomson Reuters Foundation from New Delhi. A statement from Chaayos said the technology was being tested in select cafes and was aimed at reducing purchase times for customers.

BOSTON – December 12, 2019 – DataRobot, the leader in enterprise AI, today announced that it has entered into a definitive agreement to acquire Paxata, the pioneer of self-service data preparation and leading data fabric provider, to fulfill its mission to build the world's first automated end-to-end enterprise AI platform. While the massive impact of AI on enterprises is well understood -- PwC forecasts by 2030 AI could contribute $15.7 trillion to the global economy -- companies must overcome several key challenges associated with AI in order to reap the benefits and become successful. Data preparation is one area that has historically held companies back. Creating a dataset for training predictive models, deploying data prep steps with AI models, and preparing data specific to AI routines are all major challenges companies face when it comes to leveraging data at scale. By providing tools that help users build automation into their data prep processes, the Paxata acquisition will alleviate these pain points for customers and dramatically enhance their ability to achieve AI-driven outcomes rapidly.

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