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Another sector has been added to automation's hit-list. This time it's fast food, as McDonald's adds Apprente to its McD Tech Labs roster. McDonald's has announced plans to replace human workers with artificial intelligence-driven voice technology in it's US drive-thru stores. The fast-food giant announced Tuesday that it had acquired Apprente, a company pioneering speech recognition AI, which creates "voice-based platforms for complex, multilingual, multi-accent and multi-item conversational ordering." This is their third major acquisition of a technology company this year.

BOULDER, Colo., September 12, 2019 /PRNewswire-PRWeb/ -- Enterprise Management Associates (EMA), a leading IT and data management research and consulting firm, today announced the leading innovators in the use of artificial intelligence (AI) and machine learning (ML) in metadata services, data integration, and data preparation. Two EMA research reports also identify the value of using AI and ML in data management, with savings up $5,000,000 annually. Due to the measurable value created by AI enablement, leading vendors create more value for their customers compared to legacy data management technology. Passive use of metadata focused on definitions and documentation, while the active use of metadata focuses on the delivery of services, such as data cataloguing, data governance, data discovery, and master data services. In alphabetical order, here are the Top 3 vendors for the use of AI and ML in metadata services platforms: Informatica, Reltio, and Unifi.

Mindtree, a global technology services and digital transformation company, today revealed the findings of its recent survey of AI usage across enterprises. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialize AI, but many can do more to gain real business value. When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.

During 15-17 September, RaySearch will exhibit its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2019 annual meeting in Chicago, USA. On show will be new development in machine learning technology and automation in the RayStation* treatment planning system and the RayCare * oncology information system. Machine learning capabilities were added already in RayStation 8B and are being continuously improved. RaySearch has now been granted FDA 510(k) clearance for deep learning organ segmentation and for machine learning automated planning for a key model. Several planning models are being validated for future FDA 510(k) clearance.

During 15-17 September, RaySearch will exhibit its latest advances in oncology software at the American Society for Radiation Oncology (ASTRO) 2019 annual meeting in Chicago, USA. On show will be new development in machine learning technology and automation in the RayStation* treatment planning system and the RayCare * oncology information system. Machine learning capabilities were added already in RayStation 8B and are being continuously improved. RaySearch has now been granted FDA 510(k) clearance for deep learning organ segmentation and for machine learning automated planning for a key model. Several planning models are being validated for future FDA 510(k) clearance.

Roughly six years ago, former Israel chief technology officer Yonatan Adiri cofounded Healthy.io, a digital health care startup leveraging AI to bring professional-grade medical imaging to the homes of those with chronic kidney disease. Its 10-parameter digital testing kit -- Dip.io -- enables patients to collect and analyze urine samples with nothing more than a smartphone app, a dip stick, and a color-coded slide. It's taken off like wildfire. Following on the heels of an $18 million series B raise in February, Healthy.io CEO Adiri said the fresh capital, which brings Healthy.io's total raised to about $90 million, will accelerate Healthy.io's

Technology is driving major shifts in the job market, and that will require corporations, governments, and individuals to embrace new strategies, according to a new report by Boston Consulting Group (BCG) and Burning Glass Technologies, What's Trending in Jobs and Skills, being released today. BCG and Burning Glass, a leading provider of real-time labor market information, studied 95 million online job listings in the US from 2015 through 2018. The authors analyzed the number and growth rate of job listings and skill requirements across broad sectors and within hundreds of specific job areas, as classified by the US Labor Department's O*NET occupation system. Through this analysis, the report identifies the fastest-growing jobs and the fastest-growing skills in the job market. "No other job market study to date has been as statistically extensive or exhaustive," says Rainer Strack, managing director and senior partner at BCG and a coauthor of the report.

Hewlett Packard Enterprise (HPE) announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days. The new HPE ML Ops solution extends the capabilities of the BlueData EPIC container software platform, providing data science teams with on-demand access to containerized environments for distributed AI / ML and analytics. BlueData was acquired by HPE in November 2018 to bolster its AI, analytics, and container offerings, and complements HPE's Hybrid IT solutions and HPE Pointnext Services for enterprise AI deployments. Enterprise AI adoption has more than doubled in the last four years, and organizations continue to invest significant time and resources in building machine learning and deep learning models for a wide range of AI use cases such as fraud detection, personalized medicine, and predictive customer analytics.

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