Leading full-stack edge AI company Kneron announces its acquisition of OTUS, a subsidiary of VIVOTEK (a Delta Group company). OTUS is a camera and imaging solutions provider specializing in applications for automotive, virtual reality, as well as other panoramic scenarios. Over the past two years, the company has worked closely with Kneron to jointly commercialize several automotive applications. As a vehicle solutions provider, OTUS has experienced over the past few years substantial business expansion as well as strong customer stickiness due to the high growth trajectory of automotive markets. The company provides ADAS and DMS functions such as road object detection and driver behavior monitoring.

Establish a centralized location and format where DoD can assess the state of the art in available data, analytics, digital and AI/ML technology solutions. Establish a centralized location and format where industry, academic organizations, and individuals can promote their data, analytics, digital and AI/ML technology research, products, and services to the Government. Provide an environment and process for rapid procurement of available solutions, increasing speed-to-contract for DoD organizations, and providing contracting pathways for solution providers, including traditional, nontraditional, and new entrants to the defense marketplace. Establish a centralized location and format where DoD can assess the state of the art in available data, analytics, digital and AI/ML technology solutions. Establish a centralized location and format where industry, academic organizations, and individuals can promote their data, analytics, digital and AI/ML technology research, products, and services to the Government.

Simfoni, the next-generation digital solutions provider for procurement intelligence, eSourcing and tail spend management, announced that it has acquired Michigan-based Xeeva, a fellow leader in AI-powered spend management and procurement technology solutions. This will be Simfoni's second strategic acquisition in 2022, as the company continues to leverage synergistic opportunities to deepen its solution and support competencies, accelerate growth, and solidify market dominance in indirect (tail spend) management and AI-driven spend analytics and eSourcing solutions. This acquisition marks another significant milestone for Simfoni whose goal is to deliver best-in-class, composable, spend management solutions on a global scale. Over the last year, Simfoni has been the recipient of a litany of industry awards and acknowledgements which have further strengthened its global positioning as a recognized market leader in tail spend management. It is anticipated that this latest acquisition will fortify Simfoni's place as one of the top 10 procurement technology providers, globally. Simfoni's innovative Composable Procurement approach combined with its deep domain expertise has collectively provided the company with a competitive edge as procurement teams look outside traditional solutions to achieve superior spend visibility and automation.

NLP Logix, an artificial intelligence and machine learning solutions company, today announced it's partnership and inclusion into the Beeline ecosystem. Beeline customers will be able to leverage NLP Logix's task automation solutions to drive even greater efficiencies. Beeline is the leading technology solution provider for managing the global extended workforce. "NLP Logix's AI tools can eliminate repetitive tasks, allowing the contingent workforce to offer even more value." "Beeline's mission is to optimize the contingent workforce in every way and partnering with NLP Logix will add another layer to this optimization," said Doug Leeby, Beeline CEO.

Content is always king, if you were to ask any seasoned media professional or publishing company. Whether the content is in the form of a movie, music album or digital news article, it has to be compelling to make the consumer want to spend time on it. At the same time, many companies are also realising that great content has to be distributed as widely as possible, and be personalised to the right audiences to capture their attention in today's competitive, on-demand world. To make their content travel as far as possible and gain as many readers or viewers as possible, these companies could do with a helping hand from artificial intelligence (AI). AsiaOne recently partnered AI company Neural Lab to create an automated personalised article recommender based on smart AI algorithms.

Can your brand explain how its artificial intelligence (AI) applications work, and why they make the decisions they do? Brand trust is hard to win and easy to lose, and transparent and easily explainable AI applications are a great start towards building customers' trust and enhancing the efficiency and effectiveness of AI apps. This article looks at Explainable AI (XAI), and why it should be a part of your brand's AI strategy. Typical AI apps are often referred to as "black box" AI because whatever occurs within the application is relatively unknown to all but those data scientists, programmers and designers who created it. Individually, even those people may not be able to explain anything outside of their primary domain.

In 2017 we set out to sort the substance from the sensation in our first hype vs. impact article, as shown in the infographic below. In 2022 we revisit our predictions and set out our stall for the future. Thankfully the majority of our 2017 predictions have come to fruition with AI, big data, IoT, usage-based and telematics insurance all continuing to have an impact. As predicted, other areas have not been so lucky and have, therefore been dropped from our 2022 assessment. Self-driving vehicles: Autonomous vehicles saw huge hype in 2017 but with predictably little impact since, given the complexity of getting to mass adoption.

From enabling personalized healthcare to accelerating drug discovery, applications of artificial intelligence (AI) are transforming the healthcare industry. However, developing and implementing a successful AI project poses significant challenges to healthcare providers and pharmaceutical companies. Failure rates of AI projects are high and there are some popular examples of such failures in healthcare applications. IBM Watson for Oncology is a well-known example of an AI failure in healthcare. It is an AI-enabled advisory tool for oncologists to diagnose and treat cancer patients faster.

The global RPA market is expected to reach $11 billion by 2027, and more businesses are adopting RPA as a part of their digital transformation strategy. However, RPA infrastructure can be costly and require hiring tech staff to program and maintain the bots. The desire to increase solution scalability and reduce costs has driven a demand for bot as a service (BaaS) solutions including RPA as a service (RPAaaS). RPA is a software that leverages computer vision, OCR, and NLP to replicate human interactions with computers in order to automate the execution of repetitive rule-based processes. RPA as a service (RPAaaS) is the practice of outsourcing business task automation to service providers in order to leverage RPA benefits and capabilities on the cloud without installment or licensing requirements.

Domino Data Lab is launching the company's first partner program today as the data science and MLOps software developer looks to scale up its work with service and technology partners and provide them with a structured program with more resources and benefits. The new Domino Partner Network will provide structure for what has largely been ad hoc partner processes, according to Domino executives. It will help the company expand and scale its work with partners and provide them with needed training, go-to-market resources and incentives. "Our push to formalize this partner program and to work with a wider range of partners is really being driven by our customers," CEO Nick Elprin said in an interview with CRN. "At a high level, what we're doing is formalizing an approach and a structure for how we work with partners."