If the financial industry has taught us anything in the past, it is that we can no longer postpone digital transformation in banks. Today, consumers expect to perform banking transactions from anywhere and anytime. The technological advancements that offer improved interface and inclination of customers for convenience drive the market of online banking. According to a research firm, Allied Market Analytics, the global online banking market is expected to reach $29.98 billion by 2023, with a compound annual growth rate (CAGR) of 22.6% during the period 2017–2023. The increased demand for digital versions of the traditional bank has caused several financial institutions to seek out better solutions to securely digitalize their offering and transactions while maintaining low costs.

Last week, my colleagues at The Information published some interesting leaks from GM/Cruise, about how they are failing to meet important internal milestones (Paywall.) In particular, the report states that the forecast is that Cruise will, by the end of 2019, have a vehicle that performs at between 5% and 11% of the safety level of average human driving, when it comes to frequency of crashes. As such, Cruise will miss its 2019 goal of deploying a commercial service, though it might deploy one with safety drivers. Cruise has set milestones with many similarities to what I and others have proposed, and similar to what Waymo has been measuring. When they have a safety driver disengage, they play back the situation in simulator and see what would have happened.

The AI & Big Data Expo Europe, the leading Artificial Intelligence and big data conference and exhibition event, will take place on June 19 – 20, 2019, at the RAI, Amsterdam. It is a showcase of next generation technologies and strategies from the world of Artificial Intelligence and big data -- an opportunity to explore and discover the practical and successful implementation of AI and big data in driving forward your business in 2019 and beyond. The AI & Big Data Expo will bring together 2,000 visitors over the two days, including IT decision makers, developers and designers, heads of innovation, chief data officers, chief data scientists, brand managers, data analysts, start-ups and innovators, tech providers, C-level executives, and venture capitalists. This track covers the full spectrum of AI technologies -- how they are being developed and the real life scenarios where they are being utilized. Expect to hear about chatbots, visual recognition technologies, robotics, and machine learning.

It's another week, and there's another AI sales pitch to tell us all that robots can reduce workload and teach students better. That teachers aren't good enough at differentiation: robots can spot the gaps in pupils' learning more quickly and, using sophisticated algorithms, come up with instant tasks to bridge the gap and pave the way to success. Sadly, the idea that AI can cure all ills has been around too long unchallenged – except by dinosaurs like me. Somehow we've all begun to believe that pupils are empty vessels and – worse still – they are programmable. We may live in a technological age and we may be up to our eyeballs in glitzy apps.

FREMONT, CA: Human Resources (HR) being one of the core departments of any organization has been experiencing substantial development within the past two decades. The integration of artificial intelligence (AI) into the workplace has significantly impacted the daily functionalities of an organization. AI is reshaping the traditional procedure of HR management by increasing employee engagement and improving the worker's productivity. The ability of AI systems to perform cognitive functions with the organic mind is impacting the world of work, as various developmental companies have started to initiate machine learning (ML) as their primary asset. AI-powered chatbots and automated selection system will not only interact with applicants but also provide the recruiters with a filtered list of potential aspirants as per company's necessities.

British chipmaking start-up Graphcore has burned through more than $50m (£39m) in one year as it seeks to get its AI-powered silicon chips onto the market and into data centres and driverless cars. The Bristol-based company, founded by hardware industry veterans Nigel Toon and Simon Knowles, has been spending heavily, growing its headcount and opening offices in a bid to transform its chip designs. The start-up reported revenues of $1.1m. It comes as Graphcore continues to ramp up its operations in the UK by hiring 500 new staff and open a new office in Cambridge. The company already has offices in London, Oslo, Palo Alto and has launched...

Around the world, and particularly in Australia, energy traders are trying to get their minds, and their algorithms, around the complexities of trading in variable wind and solar projects and super-fast battery storage installations. Maybe they should give up now, and hand it over to artificial intelligence. US-based software-as-a-service platform provider AMS says automated trading systems for batteries and renewable energy projects using deep learning and artificial intelligence can out-compete the best human traders, by around a factor of five. With the deployment of large-scale energy storage systems occurring at an ever-increasing rate, this is critical – not just for the ability to make money out of the markets, but also for the ongoing operation of the National Electricity Market itself. Traditional generators only need to maximise their generation during periods of sufficiently high energy prices.

In just four years, SenseTime went from being an academic project to become the world's most valuable artificial intelligence (AI) company with a current valuation of $4.5 billion. Based in China, the company has a portfolio of 700 clients and partners, including the Massachusetts Institute of Technology (MIT), Qualcomm, Honda, Alibaba, Weibo, and more. They use their proprietary artificial intelligence and machine vision technology to drive its success and "redefine human life as we know it." With the number of core technologies, products, and services SenseTime offers, it's hard to believe it's such a young company. Here are just a few ways SenseTime uses artificial intelligence to "power the future." SenseTime developed several AI technologies including face, image, object and text recognition; medical image and video analysis; remote sensing; and autonomous driving systems.

To assist manufacturers in performing an automated visual inspection, Kitov.ai has developed a smart visual inspection technology for a broad range of production lines. Israel-based Kitov.ai has built an end-to-end, fully automated 3D inspection system powered by artificial intelligence and deep learning that enables manufacturers to produce quality products at a low cost rapidly. In an interview with CIO Applications, Hanan Gino, CEO of Kitov.ai, Give us an overview of Kitov.ai Kitov.ai was founded in late 2014 by CTO and Founder Dr. Yossi Rubner, as a spin-off of RTC Vision, a company that has been developing advanced computer vision algorithms for leading companies for over a decade.

Bolstering its capabilities in artificial intelligence (AI), France's Thales said earlier this month that it acquired Ohio-based Psibernetix, which has developed processes that enable AI decisions to be mathematically verified and validated so that Thales can create Certifiable AI that is trusted. Terms of the deal, which was announced on June 7, were not disclosed. Psibernetix' technology has been used in a wide range of applications, including defense, biomedical, shipping, manufacturing and disaster management. In the defense space, the company developed an aerial combat application called ALPHA used in red force-blue force training that consistently beat the world's best pilots in simulated combat, Thales said. Psibernetix, on its website, said that AI will enable decisions at machine speed in complex and fast-moving environments.