The Nordic nation, headed by the world's youngest head of government, Sanna Marin, will mark the end of its rotating presidency of the EU with a highly ambitious goal. Finland is aiming to give practical understanding of AI to 1% of EU citizens -- or about five million people -- through a basic online course by the end of 2021. As its presidency gift to Europeans, the Finnish state provides the free online course by us and @ReaktorNow, translated to all official EU languages. It is teaming up with the University of Helsinki, Finland's largest and oldest academic institution, and the Finland-based tech consultancy Reaktor. Teemu Roos, a University of Helsinki associate professor in the department of computer science, described the near £1.5 million project as "Finland's gift to Europe" and "a civics course in AI" for every EU citizen to cope with the society's ever-increasing digitalisation and the possibilities AI offers to the job market and elsewhere.

But, 58% of businesses say that less than 10% of their company's digital budget goes towards AI. So, it's not surprising that only 15% of AI projects succeed. This disconnect comes as no surprise to us. I was an analyst at Morgan Stanley and earned my technology stripes (and scars) at Apple under Steve Jobs, while my partner and wife, Helen, is a former CIO and corporate venture capitalist. We know the hallmarks of innovation window-dressing and transformation-by-outsourcing.

Ai Editorial: Deepfakes supported by AI techniques today are considered to be a growing problem. It is vital to build AI systems that can automated deepfake detection so that risks such as identity fraud can be tackled, writes Ai's Ritesh Gupta Artificial intelligence (AI)-based identity fraud is emerging as a serious issue. Recognition of one's voices and face as a way to validate a person's identity is under scrutiny with the rise of synthetic media and deepfakes. Be it for security-related risks, user privacy concerns or fraudulent transactions, repercussions are being probed at this juncture. Technology to manipulate images, videos and audio files is progressing faster than one's ability to tell what's real from what's been faked.

From simple website optimization for the desktop to the complex and ever-evolving process of enhancing the content, Search Engine Optimization has gone through various changes over the last decade. While some aspects have never changed, such as keywords and meta tags optimizations and link building, SEO evolved a little more when it came to mobile optimization, user experience, and social media marketing. But a big change as notices when Google introduced RankBrain in 2016. RankBrain used a machine-learning algorithm to identify the patterns and the bucket data, and the process resulted in revealing a new system that analyzes a new Google search. Since then, SEO has been changing a lot with Artificial Intelligence and Machine Learning algorithms making tremendous betterment in improving the relevance of content for the searcher. And in the coming 2020, AI is very likely to impact the future of SEO through videos, images, voice search, and pre-trained models. Let's hear a little more about it from the experts – With the inevitable advancement of AI, it has become a necessity for every marketer to reform their marketing strategy to include AI. On top of that, AI tools will also help improve keyword research methods for better content strategy, stronger analytics and reporting system for SEO teams, and smarter personalization. Early adopters will surely reap the benefits of AI. Next, we have Dawn Anderso, Managing Director at Bertey – International SEO & digital strategy consultant, speaker, trainer, and lecturer. The impact of AI on SEO in 2020 is not anywhere near as much as you think.

Intel has struck a US$2 billion deal for Israel-based AI firm Habana Labs, a developer of programmable deep learning accelerators for the data center. The acquisition will "turbocharge" Intel's offerings for the data center, it said in a release, "with a high-performance training processor family and a standards-based programming environment to address evolving AI workloads." Navin Shenoy, Executive Vice President and General Manager of the Data Platforms Group at Intel, said; "This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data center." Habana will remain an independent business unit and will continue to be led by its current management team, reporting to Intel's Data Platforms Group, home to Intel's broad portfolio of data center-class AI technologies. Intel said it expects the AI chip market to exceed US$25 billion by 2024.

The implications of artificial intelligence will be even more that one can never imagine when applied for veterinary sciences. Fremont, CA: Smart wearables that are increasingly used in the healthcare sector for pet animals can generate a huge amount of data. There raises the potential for artificial intelligence (AI) to utilize the data. This technology employs machine learning algorithms and real-time analysis. There are a number of data analytic tools to analyze and visualize data to find trends and patterns.

As we wind up an eventful year for grantmakers in Australia and New Zealand, we think it's the perfect time to look ahead, with an examination of the strengths and weaknesses of AI-assisted grants and other ways to do better in the latest edition, Also inside: Don't forget that you can tap into our knowledge base of past newsletters, grantmaking tools and resources by visiting www.aigm.com.au. Please note, SmartyGrants readers can become an AIGM member free, for all-areas access. Plus join the AIGM for exclusives, back issues and discounts. The quarterly publication is just one of the benefits of membership of the Australian Institute of Grants Management. Learn more about Grants Management Intelligence and become a member here.

Big data is around us. However, it is common to hear from a lot of data scientists and researchers doing analytics that they need more data. How is that possible, and where does this eagerness to get more data come from? Very often, data scientists need lots of data to train sophisticated machine-learning models. The same applies when using machine-learning algorithms for cybersecurity.

Palo Alto, Calif., April 16, 2019 – Hazelcast, the leading in-memory computing platform company, today announced the general availability of Hazelcast Jet, the only streaming engine with no external system dependencies. The result is the industry's fastest stream processing engine that dramatically simplifies implementation from the smallest to largest deployments. Whether deployed in constrained environments, such as IoT sensors, or cloud-scale applications, Hazelcast Jet ingests, categorizes and processes vast amounts of data with ultra-low latency to support continuous intelligence practices. "SigmaStream specializes in high-frequency data and works with some of the world's largest companies that operate in the most constrained environments. By integrating Hazelcast Jet's high-performance streaming engine with our Hummingbird visualization and processing platform, we process high-frequency data from dozens of channels and address inefficiencies in real-time," said Hari Koduru, CEO of SigmaStream.

The year 2019 seemed to be the year of unpredictability, not the least of which was the seemingly ever-changing foreign trade policy of major world economies. Interestingly, it's that same unpredictable nature of foreign trade policy that serves as a springboard for supply chain predictions for 2020. Here are the top five predictions that will have a major impact on the world's global supply chains. Historically, digital transformation of the supply chain has taken place by targeting various functional silos within their own walls. This approach lacked the ability to evaluate the interconnected nature of supply chain decisions.