Computers have become adept at extracting patterns from very large collections of data. For example, shopping transactions can reveal consumers' preferences and message traffic on social networks can reveal political trends.
IT professionals involved in shaping, implementing, and managing their organization's supply chain operations are counting on artificial intelligence (AI) to help make those operations more efficient and effective. Just how much they're expecting from AI became evident in a recent IDG survey of 150 IT professionals across the U.S. AI clearly topped all emerging technologies: 57% of the respondents said AI would have the greatest impact on their supply chain in the coming two years. In practice, of course, AI technologies such as machine learning, natural language processing, and pattern recognition will often work hand-in-hand with data analytics, IoT, and other technologies. For example, AI is already helping data analytics systems identify trends and other valuable information--information that often is buried in massive volumes of data that comes from many diverse sources, IoT sensors included. The intersection of AI and the supply chain will be multifaceted and wide-ranging.
Freiburg & Boston, 18. July 2019 – Jedox, a leading international software provider for planning and enterprise performance management (EPM), enables finance and other business functions to easily employ predictive analytics and artificial intelligence to gain deeper insight from large data sets. Jedox customers Mitsui Chemicals Europe and ServiceMaster have achieved tangible results in pilot projects to improve sales forecasting and customer loyalty with the new integrated AI engine after just a few months and aim to expand their AI applications. Mitsui Chemicals Europe GmbH upgraded its existing Jedox planning environment with the Jedox Predictive Analytics and AI Engine. The focus of the project was sales forecasting. To achieve even greater predictive accuracy, the project team and Jedox Partner HighCoordination implemented Jedox's "Predictive Forecast" standard model.
Greta Thunberg is 16 and lives in Sweden. Until February last year, she was just another student concerned about the environment. Today, she's become the world's most influential climate activists, after founding'Fridays for Future', a movement that encourages school students to take time off from class to participate in demonstrations against their countries' governments for breaching environmental laws. Greta believes that we're heading towards a natural disaster and the planet's destruction if we fail to change our habits as a society. And that includes everyone, from large industries to the individual citizen.
BENGALURU: India has initiated a project to digitally map the country with a resolution of 10 centimetres, using drones and technologies such as Artificial Intelligence and big data, a senior government official said on Monday. The herculean task was taken up by the Survey of India, part of the Department of Science and Technology, a few months ago and is planned to be completed in two years, the department's secretary, Prof Ashutosh Sharma said. "...now we are equipping them (Survey of India) with the latest technologies like drones, Artificial Intelligence, big data analytics, image processing and continuously operated reference system", he told reporters on the sidelines of an event here. Once the project is completed, the data will be available to citizens and to Gram Panchayats and local bodies, empowering them to use it in decision making and planning process. The survey is currently in progress in Karnataka, Haryana, Maharashtra and the Ganga basin.
A little over a year later, the division's role has changed considerably, according to R/GA chief technology officer Nick Coronges. While it has certainly created campaigns with explicit AI elements--a chatbot for the Cosmopolitan of Las Vegas, for instance--the agency has found the tech to be of much more use in the behind-the-scenes workflow of its operations across the board. "It's changed a lot," Coronges said. "While the original launch made a lot of sense to get the agency rallied around this technology quickly … our mission now is really to have data strategists and engineers plugged into all the work we do, rather than be a separate door into the agency." This evolution mirrors a broader shift in how ad agencies are treating AI and data science.
Half-price cinema tickets, cycle to work schemes and gym passes have long been part of employee benefits programmes. But with research showing 84% of millennials look to leave their jobs within the first two years, employers want to tailor their perks packages to their employees' needs. Emerging technologies such as data analytics, chatbots, and wearables can help employers know which benefits resonate with employees. And machine learning can monitor take-up and avoid wasting money on unwanted benefits. "From an employer perspective, there is already a lot more emphasis on looking at data to see what benefits employees are using," says Jeanette Makings, head of financial education at merchant bank Close Brothers.
The risks in the ML life cycle are also different since machine learning models have become pervasive in so many aspects of everyday consumer life – so much of which is tightly regulated. As machine learning models help automate important decisions in a wide variety of industries – banking, health care, airline schedules, telecom, shopping, entertainment, and so on – they become subject to much scrutiny about compliance, audits, needs for explainability, concerns about fairness and bias, privacy laws, security concerns, etc. Many of those activities are regulated, for important reasons. While more traditional software engineering similarly has security concerns, audits, etc., the stakes are not nearly as high: code can be debugged. Machine learning, especially when driven with large scale data, is substantially more difficult to trace and "debug" compared with coding.
India's top multinational conglomerates are in the midst of a digital transformation. Indian companies, not usually viewed as disruptors are now seeing a critical opportunity in leveraging Artificial Intelligence (AI) and Machine Learning (ML) to identify newer opportunities and adapt to the fast-changing business environment. We are seeing a trend where business leaders across industries are deepening their commitment to AI and analytics and seeking ways to apply them at scale. However, making AI work in a conglomerate is not easy. For companies of the scale of Aditya Birla Group, Mahindra & Mahindra and the Tata Group, bigger isn't always better when it comes to driving cross-division synergies and catering to every division's needs.
London-based insurtech Concirrus has launched a new artificial intelligence-powered cargo data analytics solution in partnership with brokers Marsh JLT Specialty and Willis Re Specialty. The company claims it has the potential to "revolutionise" the way cargo insurance is priced, selected and managed in the industry. The new solution, called Quest Marine Cargo, will be available from first quarter 2020, and will fully integrate with Concirrus' existing suite of hull and P&I capabilities. It will provide full analytics on the entire cargo journey - from factory gates to customer warehouse using advanced AI combined with the latest cargo monitoring. Concirrus said the launch is a part of its wider innovation strategy which is centred around developing solutions that deliver greater efficiencies to the 300-year old re/insurance industry.
Robots have transcended the realm of sci-fi fantasy and are now making revolutionary waves in several industries. Industries that deal with complex, life-threatening tasks have been enjoying tremendous benefits from robots. From being controlled by a human operator to now being fully autonomous, robotics has vastly grown. Equipped with cutting-edge technologies, some robots today are designed such that they closely emulate human intelligence, in one form or another. Due to this, we see the use cases of robots in areas that need human intelligence and decision-making capabilities.