Volute, a technology company developing new enterprise workflow solutions, today announced the appointment of a new member to its Board of Directors – Enrique Shadah, Chief Operating Officer at Filtered.ai and Head of Venture Relations at MIT's LinQ Program for Biomedical Innovation. Volute, a technology company developing new enterprise workflow solutions, today announced the appointment of a new member to its Board of Directors – Enrique Shadah, Chief Operating Officer at Filtered.ai and Head of Venture Relations at MIT's LinQ Program for Biomedical Innovation. "On behalf of Volute and the Board of Directors, I am pleased to welcome Mr. Shadah to the Board," stated Michael Croft, Founder and Chief Executive Officer of Volute. "Enrique has an impressive track record of working with thought leaders and trending technologies that bring innovations to market by marquee corporations as well as startups in numerous industries." "Michael is highly attuned to large organizations needs to increase productivity of knowledge workers through better workflow. This insight coupled with his deep understanding of technology, is the foundation on which Volute is building a leading position in the field of intelligent workflow and process automation. I look forward to working with Michael and the Volute team to accelerate progress towards this goal," Mr. Shadah added.

Forecast, a Denmark-based startup that has developed "AI-powered" project management software, has raised $5.5 million in new funding. The round is led by Crane Venture Partners, with participation from existing backers SEED Capital and Heartcore. Forecast has raised $10 million in total funding to date. Founded in late 2016, Forecast describes itself as an AI-powered project management solution that automates manual project management tasks, and brings extra visibility and predictive capabilities to to project management. The idea is to help increase collaboration across teams with a better workflow and to improve planning.

The life sciences sector is one of the largest sectors with the number of patents filed in this area, as an increasing number of medical device companies are using AI to diagnose patients more precisely and to treat them more effectively but are often faced with challenges. Case study – Multi Award winning Creavo Medical Technologies Ltd is a UK based medical device company that is developing innovative diagnostic technologies. Operations Director Andrew Mullen will share his first had experience of using AI within their business and product developments. Including real life examples of a medical device, what they wanted to do with it and how they achieved it through use of AI. Aimed at people interested in AI or who are using it to develop their business.

After decades of rapid progress, advances in medical technologies have slowed in recent years. But there are reasons to be hopeful, according to the Global Innovation Index 2019, with artificial intelligence, genomics, and mobile health applications all poised to transform global healthcare. GENEVA, 31 October 2019 - In the context of the joint technical symposium by the World Health Organization (WHO), the World Intellectual Property Organization (WIPO) and the World Trade Organization (WTO), GII Co-Editor Sacha Wunsch-Vincent presented the results of the GII 2019 Theme Chapter on Creating Healthy Lives -- The Future of Medical Innovation, answering the question: "Are we about to enter a new "golden age" of medical innovation?" Over the last century, improvements in healthcare have doubled life expectancy in developed and developing countries, resulting in an expanded workforce, greater economic growth and improved quality of life. Driving those improvements has been healthcare innovation, both in technologies, such as chemotherapy and joint replacements, and in processes, such as better hygiene and enhanced public health planning.

Source: AI Policies Are Setting Stage To Transform Healthcare But More Is Needed. AI Executive Initiative has started flow of funds and agency proposals that will lead to more accurate diagnoses, earlier treatments and ultimately empower patients be in control of their own health. White House and federal leaders have been working behind the scenes to lay the groundwork to use technology for dramatic improvements in healthcare. Since the announcement of the Artificial Intelligence (AI) Initiative earlier this year there has been increased funding and agency proposals that will lead to more accurate diagnoses, earlier treatments and ultimately empower patients be in control of their own health. But even more attention is needed to keep America competitive on the global AI front.

Smartia create scalable AI solutions for manufacturing and engineering companies to digitise their industrial assets through data capture to drive value from their machines and production lines. Smartia are showcasing their innovative Data and AI software MAIO as part of Innovation Alley at Smart Factory Expo in November 2019 and are looking forward to engaging with some key customers and partners across the Manufacturing and Engineering landscape. There is a huge opportunity for AI within the Industry 4.0 revolution. The Made Smarter review published in 2017 highlighted that the application of AI in industry between 2017 and 2027 could offer approximately £198.7 billion, with productivity gains of £650billion GVA. Data holds the secret to many business issues.

Most people find it a pain to receive parcels in wide time slots like, say, between 8 a.m. and 5 p.m., so when delivery startup Paack offered a service in which everyone could narrow that window down to one hour, with no extra charge, it had a challenge on its hands. The startup's routing engine worked but needed to be more efficient. Enter Prowler.io, a Cambridge, U.K.-based machine-learning startup that bills itself as a decision-making platform for any company with complex problems to solve. Paack's contact at venture firm Balderton in London introduced it to Prowler in February 2018, and within months its delivery vans and trucks were being coordinated by an intelligent, digital simulation. With the beta test over, Paack's CEO, Fernando Benito, sees a potential benefit to his bottom line. Some of his startup's deliveries are now 15% more efficient, he tells Forbes.

Accusonus, the Greece and U.S.-based AI company helping content creators improve the audio in their videos, has raised $3.3 million in Series A funding. The round is led by Athens-based Venture Friends, with participation from Big Pi, IQBility, PJ Tech, along with a syndicate of U.S.-based investors led by Michael Tzannes, who is actually the co-founder of Accusonus (and the former CEO of Aware Inc.). Launched in 2014, Accusonus has been using AI for various audio and music applications longer than most. The company's first product was Drumatom, which allows recording engineers to control microphone leakage (also known as bleed or spill) in drum recordings. In 2017, Accusonus followed up with the release of Regroover, an AI software instrument that un-mixes audio loops into stems so that new beat making workflows are possible. Its products are said to have been used by engineers working with musicians such as Bob Dylan, Lou Reed, Goo Goo Dolls, Super Furry Animals, Wilco, Jennifer Lopez, and many others.

"There is no doubt that AI will become the essential key to success for the publishing industry," says Colin Lovrinovic, MD of Gould Finch a management consultancy. Gould Finch and Frankfurter Buchmesse (international publishing industry's biggest trade fair) have collaborated on a recently published whitepaper, "The future impact of artificial intelligence on the publishing industry." It is the result of a 6-month international survey of 233 participants from 17 countries, and includes inputs of CEOs and editors from the publishing industry. The paper outlines challenges publishers face while considering AI implementation in their organizations. And presents suggestions on where they should concentrate efforts and attention to realize the most benefits.

Until recently, artificial intelligence has struggled to gain a foothold on Wall Street. In the last few years, large investment banks like Goldman Sachs and JP Morgan have hired artificial intelligence specialists away from academia and put them in charge of their internal AI divisions. Financial technology start-ups have begun using machine-learning algorithms to model credit ratings and detect fraud. And hedge funds and high-frequency traders are using AI to make investment decisions. Politicians are starting to take notice.