Press Release
Machines Teaching Each Other Could Be the Biggest Exponential Trend in AI
"The easier it is to communicate, the faster change happens." During an October 2015 press conference announcing the autopilot feature of the Tesla Model S, which allowed the car to drive semi-autonomously, Tesla CEO Elon Musk said each driver would become an "expert trainer" for every Model S. Each car could improve its own autonomous features by learning from its driver, but more significantly, when one Tesla learned from its own driver--that knowledge could then be shared with every other Tesla vehicle. As Fred Lambert with Electrik reported shortly after, Model S owners noticed how quickly the car's driverless features were improving. In one example, Teslas were taking incorrect early exits along highways, forcing their owners to manually steer the car along the correct route. After just a few weeks, owners noted the cars were no longer taking premature exits.
Investorideas.com - #AI News: Machine Learning Startup indico Announces $4M Financing
Newswire) indico, a provider of enterprise machine learning solutions for unstructured content, today announced $4 million in new equity seed funding led by Osage Venture Partners. Ventures, Boston Seed, and Hyperplane also participated. The funding follows a $1.5 million round of convertible debt financing announced in October, and the addition of veteran CEO Tom Wilde in September. Artificial intelligence and machine learning offer big opportunities for businesses, but many organizations struggle to find practical business applications for the technology due to limited access to required skillsets, insufficient data and infrastructure, and poorly designed pre-trained offerings. Philadelphia-based Osage Venture Partners focuses on early stage, business-to-business technology companies including analytics and artificial intelligence-based startups such as Automated Insights, BAInsight, SevOne, and Sidecar.
4 smart home trends to watch in 2018
There's no doubt that technology advances faster than we can even keep up these days, and the smart home sector is one of the fastest-growing. At CES 2018, hundreds of companies showed off new smart home solutions and gadgets, from the useful and innovative to the repetitive and uneventful. As we toured the showrooms, we noticed a few different trends coming to the table for smart home enthusiasts this year. Read on to learn more about where smart homes are headed and see how leading companies are tackling these new trends. Voice commands are great and all, but sometimes maybe you don't feel like shouting over your music or talking over an important scene in the movie you rented.
IBM and Salesforce double down on AI, announce Watson Einstein collaboration
Salesforce and IBM announced an expansion of their strategic partnership on Friday, with the firms combining the power of IBM Cloud and Watson services with Salesforce Quip and Salesforce Service Cloud Einstein, the firms announced in a joint press release Friday. Two top tech firms like Salesforce and IBM connecting their artificial intelligence (AI) platforms reinforces the growing value of AI and big data in the enterprise. AI, especially, is taking center stage as one of the battleground technologies for business, and this is a clear example of two CEOs making a move to reinforce that with their partnership. In the release, IBM CEO Ginni Rometty said that the combination of Watson and Einstein will "help enterprises make smarter business decisions." Salesforce CEO Marc Benioff echoed this sentiment, saying in the release that the combo will "deliver even more innovation to empower companies to connect with their customers in a whole new way, leveraging the power of the cloud and AI." SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) Specifically, the Watson/Einstein combination will provide actionable next steps in a given process, the release said.
Guide To The Machine Learning Galaxy: Meet Tomorrow's Rising Stars
We've just begun to scratch the surface of the impact of machine learning on the enterprise. Organizations are applying machine learning algorithms to business processes to automate manual tasks and identify patterns in transactional data to drive strategic decisions. Many applications are focused on efficiency and automation, but that trend is shifting. More and more businesses are using machine learning to develop disruptive new business models. What does this mean for your organization?
Reimagine Customer Obsession with Manthan
Make your customer the focus of every merchandise, marketing, store and supply chain decision and use artificial intelligence powered prescriptions to take the right decisions for your customers, every time. Manthan is a leading cloud analytics company that has pioneered analytical applications for consumer-facing businesses. We excel in the application of decision sciences, advanced math, and artificial intelligence and have a restless ability to invent and bring ideas to life.
Global Industrial Machine Vision Market3: Growing Demand for Application-Specific Machine Vision Systems Driving the $12 Billion Industry
The "Industrial Machine Vision Market by Component (Hardware (Camera, Frame Grabber, Optics, Processor), and Software (Deep Learning, and Application Specific)), Product (PC-based, and Smart Camera-based), Application, End-User - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering. The overall industrial machine vision market was valued at USD 7.91 Billion in 2017 and is expected to reach USD 12.29 Billion by 2023, at a CAGR of 7.61% between 2017 and 2023. This is because of the increasing need for quality inspection and automation, growing demand for AI and IoT integrated machine vision system, increasing adoption of Industrial 4.0, development of new connected technologies, and government initiatives to support smart factories, among others. Governments of different countries worldwide are encouraging investments in manufacturing, which is necessitating the use of various automation products for structural development. Software component is expected to grow at the highest rate between 2017 and 2023.
80 Percent of all Marketing Executives Predict Artificial Intelligence Will Revolutionize Marketing by 2020
SAN FRANCISCO – Dec. 13, 2016 – Demandbase, the leader in Account-Based Marketing (ABM), revealed today the results of its Artificial Intelligence (AI) survey, issued in conjunction with Wakefield Research. Overall, the research shows that marketers are excited about the potential AI brings to the world of sales and marketing. While they believe it has the potential to significantly impact the entire industry, there is a clear discrepancy between this enthusiasm and marketers' confidence in how to implement AI into their marketing programs. In fact, 80 percent of all marketing executives believe AI will revolutionize marketing over the next 5 years, but only 26 percent are very confident they understand how AI is used in marketing and only 10 percent of marketers are currently using AI today. Surprisingly, concern with the cost of implementing AI is lower on the list at 42 percent.
North America Artificial Intelligence Chip Market Analysis 2017-2023 - Market to Witness a CAGR Growth of 51.7% - ResearchAndMarkets.com
DUBLIN--(BUSINESS WIRE)--The "North America Artificial Intelligence Chip Market Analysis (2017-2023)" report has been added to ResearchAndMarkets.com's offering. Artificial Intelligence is a fast-evolving technology and industry leaders are investing into the technology to gain higher market share within a competitive market space. The AI systems consist of software and also require high-end hardware functionality to support calculations. Therefore, market participants are working on building custom chips, designed to support AI development. Artificial Intelligence Chip would be among the most progressive technologies of computer science.
Honda brings robotic devices and energy management solutions to CES 2018 - Automotive World
Honda introduced its new 3E (Empower, Experience, Empathy) Robotics Concept at CES 2018, demonstrating a range of experimental technologies engineered to understand people's needs and make their lives better. Through a suite of robotic concepts expressing a variety of functions and designs, Honda shared its vision of a society where robotics and AI can assist people in many situations such as disaster recovery, recreation and learning from human interaction to become more helpful and empathetic. Honda's 3E Robotics Concept is part of the company's core areas of focus at CES 2018: robotics, mobility, and energy management. Honda intends to pursue these areas through its "open innovation" approach, developing technology themes that foster collaboration with partners who share Honda's vision. Rather than stand-alone devices that work independently, Honda envisions robotics as multiple devices that work together as a system, enabling people to expand their life's potential.