This is a boon for retailers seeking to accurately predict demand, anticipate customer behavior, and optimize and personalize customer experiences. And as data volumes grow and processing power improves, machine learning becomes increasingly applicable in a wider range of retail areas to further optimize business processes and drive more impactful personalized and contextual consumer experiences and products. But McKinsey has assessed that the U.S. retail sector has only realized 30-40% of the potential margin improvements and productivity growth their analysts envisioned in 2011--and a large share of the value of this growth has gone to consumers through lower prices. So how will AI and machine learning change retail analytics, as they are currently defined?
Australia's National Broadband Network (NBN) company has announced its new Tech Lab, which will utilise big data, graph technology, and machine-learning capabilities to help solve and map end-user connectivity issues. "While for the majority, the installation experience is positive, when faults do occur, NBN's Tech Lab will help the team determine whether a fault can be dealt with remotely and immediately, or whether a field technician needs to visit an end-user home to resolve the fault," NBN explained on Thursday morning. McInerney said NBN expects to see "significant improvements" in customer experience by simplifying and speeding up the fault detection and resolution process. NBN has expressed an increased focus on end-user experience of late, earlier this week it announced trials of a new diagnostic tool aimed at remotely finding out whether a premises has copper wiring faults.
Intel's research found that drivers are unclear about when a machine will talk and when it will listen; which gauges will be used and what they mean; and, perhaps most importantly, how much the driver has to pay attention in self-driving car mode. One of the major benefits, according to the Intel study, is that a computer making judgments about traffic and road conditions won't second-guess a decision. So how will drivers learn to trust autonomous cars? "Trust in autonomous vehicles will reach the first major milestone when the key car manufacturers complete testing on public roads under various environment conditions and will be able to share some positive results in terms of safe driving benchmarks," Ponomarev says.
Insurtechs with expertise in robotics, artificial intelligence, IoT, blockchain and advanced analytics are encouraging insurance companies to rethink product development through collaboration. The report, "Global insurance market opportunities: Reimagining risk management," argues insurtech startups will likely play the role of enabler for insurance innovation rather than disrupt long-standing business models. "The insurance industry has been relatively slow to embrace digital technology compared with other industries. That reticence has opened a window of opportunity for entrepreneurs to deploy digital technology to improve the customer experience through a host of startup companies," Aon says.
MUMBAI: American technology company IBM has said that more than 1,000 Indian companies, including startups, are using the Watson Internet of Things, its data analytics and cognitive artificial-intelligence (AI) platform, to draw insights from enormous amount of data collected through sensors placed on machines and devices. IBM counts Tata Steel, Reliance Group, Tech Mahindra, Maruti-Suzuki, Mahindra & Mahindra, KPIT, Arrow Electronics, Kone, Acculi Labs, Avanijal Agri Automation and Schneider Electric India among its customers and partners. We are working with big brands, medium-sized companies and a phenomenal number of startups, particularly in agriculture and healthcare," said Harriet Green, general manager, Watson Internet of Things, customer engagement and education at IBM. IBM combines its cognitive AI platform called Watson to analyse data collected through various internetof-things (IoT) sensors placed by customers.
It's all about granular customer data Market research for business and market intelligence and identification of customer trends is not a new thing for retailers. But the new thing that has been taking turns big time is granular customer data. Brick and mortar retailers have started banking big time on "real behavioral data". Retailers in order to keep the customer journey really engaging should develop solutions to deliver experience like a video game, where their customers should encounter goals, levels, checkpoints etc.
Artificial intelligence aims to revolutionize the hiring process by integrating technology with recruitment. Recruitment -- as a process -- is data driven, and by using this data in an effective way, Human Resources (HR) is able to gauge how successful an employee will be in an organisation. Artificial intelligence also incorporates employee experiences at previous companies as well as extra-curricular skills and other qualities. Since a large number of resumes are received by Human Resources (HR), there is a huge build-up of valuable data, which can be tabulated and analysed accurately, with the support of technology.
Vevo is the world's leading all-premium music video and entertainment platform with over 24 billion monthly views globally. Vevo delivers a personalized and expertly curated experience for audiences to explore and discover music videos, exclusive original programming and live performances from the artists they love on mobile, web and connected TV. Take a look inside Vevo: http://vevo.ly/cz8ykP We are growing our Data team and creating the next generation of Vevo's data services. The team's mission is to deliver intelligent, personalized, entertainment experiences and insights to our users, artists, record labels, and internal business groups.
Adaptively intelligent apps consume streams of raw data from multiple sources--such as customer experience, enterprise resource planning, supply chain management, and human resources--to develop predictive analytics. "Data is the fuel that drives organizations towards automation," Rich Clayton, vice president of Oracle's Business Analytics Product, recently wrote. There's marketing data, sales data, supply chain data, HR data, and so on--and these functions are highly interdependent. For instance, this is the approach Oracle takes with the Oracle Management Cloud, which leverages machine learning and big data techniques to provide next-gen monitoring, management and analytics cloud services.
First noticed by Variety, Roku has listed open positions that are specific to tying audio with software. For example, Sr. Software Engineer, New Products, Audio (Expert) requires candidates with experience taking "new hardware platforms from prototype to mass production." The most notable resumé belongs to Jim Cortez, a Senior Software Engineer who works on voice interfaces for the company. He was previously the cofounder of Ivee, a company that makes smart home speakers in the same vein as the Amazon Echo and Google Home.