How advancing artificial intelligence methodologies will impact the workplace and the economy. Leading organizations have already jumped on the machine learning bandwagon to automate decision processes and have started to dip their toe into deep experimentation of advanced artificial intelligence methodologies. It's no wonder with market predictions estimated at $100B by 2025 for venture investment that most believe AI will have an incredible impact on the workplace and the economy. Process Improvement and top-line growth initiatives have put increased pressure on operations to scale back cost while increasing output which has led to rapid expansion and innovation. The largest sectors of growth in machine learning and artificial intelligence are in customer service, hiring, finance, and marketing.

The developments in Google's Cloud Computing segment, especially the Cloud Machine Learning service, have been so rapid that Google calls it one of its fastest growing product areas. Google has been ramping up their Cloud Platform quite aggressively in recent months. Just a few weeks ago, the Google Cloud Platform opened its newest zone in Tokyo, increasing the total number of regions they are present in to six - three in the US and one each in Belgium and Taiwan and Tokyo. Not long ago, the company announced its acquisition of Orbitera, a cloud commerce company. The developments in Google's Cloud Computing segment, especially the Cloud Machine Learning service, have been so rapid that Google calls it one of its fastest growing product areas.

SEATTLE, April 05, 2018 (GLOBE NEWSWIRE) -- Applexus Technologies, a full-service business and technology solutions company based in the Seattle area, announced the launch of a new Artificial Intelligence (AI) practice to provide AI software and services to clients. The newly launched team is part of Applexus Product and Innovation. The new practice supports a wide variety of AI services and solutions, through custom and packaged solutions, using emerging technologies such as deep learning, machine learning and big data analysis. The Applexus Chief Technologist and AI practice leader is Dr. Thomas Koickal, one of the longest-serving global practitioners of machine learning based technologies. His career of more than 20 years has included work at the University of Edinburgh, UK and Vikram Sarabhai Space Centre, a research center of the Indian Space Research Organization.

Amagi, a global leader in cloud-based technology for media processing, today announced the launch of TORNADO, a machine learning-based content preparation service that enables TV networks and content owners to scale their operations, accelerate broadcast workflows, generate new revenues and reduce operational costs. Compared to traditional manual content preparation, Amagi TORNADO is nearly six times more efficient, allowing broadcasters free up capital and streamline workflows. Over the last three years, the broadcast industry has had to evolve significantly due to a rise in multi-screen content consumption, demands for "here and now" content and a shift in how consumers are viewing content as more consumers move from cable to OTT services. In such an evolving scenario, TV networks, content owners, and digital-first networks are creatively trying to grab a piece of the action by trying new mediums and delivery methods to provide better experiences to consumers while streamlining costs and operations. However, despite these efforts, content preparation continues to require pain-staking hours of manual work and massive overhead costs.

We live in a world where we depend on other people's opinions prior to buying a product or service. It has been this way for quite some time. Years ago, if a celebrity endorsed one product over another, that would become the most popular product. Now that everything has become Internet-focused, endorsements have changed. They are still important and consumers rely on them to make decisions.

Facebook said Wednesday that personal data for up to 87 million people--tens of millions more than originally thought--may have been "improperly shared" with Cambridge Analytica, the data analytics firm that worked for Donald Trump's 2016 campaign. Most of those affected were in the United States, the company said. Facebook included the disclosure in the second-to-last paragraph of a company statement that also described new measures to restrict third-party access to user data. Recent stories in the New York Times and the British Observer cited a former Cambridge Analytica employee, Christopher Wylie, who said that the Facebook data of more than 50 million people had been harvested and provided to Cambridge Analytica in 2014. The data was acquired, Wylie said, in the hopes of building personality-based models to target and influence voters in US elections.

Commenting on the report, an Automotive Artificial Intelligence (AI) Market analyst one trend affecting this market is advent of infotainment systems powered by automotive AI. Automotive AI can be defined as the technological capability of the machine to make logical decisions based on certain parameters without the aid of a human. This report covers the present scenario and the growth prospects of the Global Automotive Artificial Intelligence (AI) Market. To calculate the market size, the report considers the revenue generated from the application of AI, such as human-machine interface, ADAS applications, and autonomous vehicles. Key questions answered in this report - What will the market size be in 2022 and what will the growth rate be? - What are the key market trends?

Setting new trends in the industry, this 20-storey, four-star hotel offers 269 guest rooms including 54 suites. Designed by the team that successfully relaunched the Hôtel Gault, Monville is redefining customer service by offering the latest integrated technological innovations. This robot, developed by the California firm Savioke, helps make a stay at Monville a truly unique experience, in harmony with the growing digital age. Guests can check in easily and quickly at electronic kiosks, where they will also automatically receive their room keys. Human receptionists can thus dedicate more time to helping guests discover Montréal's many attractions.

DeepMind Technologies Inc., the machine learning company owned by Alphabet Inc., announced today that it's opening a new artificial intelligence lab in Paris. The new lab will be headed by Remi Munos (pictured), a French native and senior researcher at DeepMind who has authored 150 research papers. In an announcement video, Munos said Paris is a perfect fit for DeepMind's next lab because the city has a thriving AI and machine learning ecosystem that's still growing. "Effectively, there are a large number of research labs in universities, engineering schools and public research centers together with a large number of AI startups who have appeared, as well as large companies that are setting themselves up," said Munos. "Joining this network is a very positive move for DeepMind, to collaborate with this scientific community in order to contribute to research and also to teach students." Frédérique Vidal, France's Minister of Higher Education, Research and Innovation, said in a statement that DeepMind's Paris lab "demonstrates the excellence and attractiveness of the Artificial Intelligence Ecosystem in France," and she added that the country will soon establish partnerships with "the public actors of French research."

Microsoft is betting big on'democratising' artificial intelligence (AI) and plans to make it'available to all' to improve lives and transform organizations. Reducing the risk of accidents, predicting the behavior of users, detecting the disease and helping the farms to increase the crop fields are some of the advantages of AI-based innovations. Is it something that would be harnessed by some of the biggest companies in the world? Who is AI for?" said Anant Maheshwari, president, Microsoft India, in his keynote address at the company's'AI for All' conference here. "And one of the core perspectives we have had as a company is to democratize AI and bring it for everyone," he said. Microsoft is helping more than 650 Indian-based partners to build innovative solutions with the help of its cognitive services, AI, machine learning and IoT solutions. The company and its partner firms have deployed AI solutions in different fields such as agriculture, retail, e-commerce, manufacturing, healthcare, education, and BFSI. For instance, Flipkart is using AI and analytical capabilities in Microsoft cloud computing Azure to deliver a customized experience to its users. Ola uses Microsoft's IoT and AI solutions to improve the experience of its passengers and drivers. The telematics platform transforms the car into a high-performance intelligent vehicle, improving engine and driver performance. It also enables to predict breakdowns, make smart navigation and enhance security and safety. Microsoft has signed an agreement with a Bengaluru based healthcare startup Forus, on retinal imaging devices. It would use AI and IoT for early detections of eye diseases such as glaucoma, macular degeneration, diabetic retinopathy and help in reducing blindness. "AI is going to be very important because when you can give the response to somebody [patient] immediately, the chances of he taking the whole thing more seriously is very high," said K. Chandrasekhar, co-founder, and CEO of Forus. He said that India had only 20,000 ophthalmologists for the growing population of 1.3 billion. Microsoft also said that as we are entering into the world of AI with all the ingredients like big data, computing power, and cloud technologies together, the company is taking the consequences of AI very seriously. "We don't want to unleash it, we want to be very mindful of it," said Peggy Johnson, executive vice president, business development at Microsoft. "As AI is introduced in our daily lives, we want people to know what is going on with their data," said Ms. Johnson. "If anything should go wrong, you can't say'oh the machine did it' that just is not an acceptable answer.