Artificial intelligence (AI) is rapidly evolving and becoming ubiquitous across virtually every industry. AI solutions allow organizations to achieve operational efficiencies, gain insights into customer behavior, measure key performance indicators (KPIs), and leverage the power of big data, among other things. Similarly, the electric vehicles (EV) market has gained traction in recent years. It's more common to see drivers cruising in EVs, whether a Tesla, Chevy Bolt, or Nissan Leaf. EVs are becoming popular among eco-conscious consumers because they offer more eco-friendly benefits than traditional gas-powered vehicles.

People have become very familiar with the term artificial intelligence (AI), but many of its users have only a rudimentary understanding of how it actually works. As a result, to date financial services and many other industries have yet to leverage its full capabilities. For financial services firms, adoption of explainable AI could drive adoption of AI-related technologies from the current rate of 30% to as high as 50% in the next 18 months, according to Gartner analyst and vice president Moutusi Sau, adding that lack of explainability is inhibiting financial services providers from adopting/rolling out pilots and projects in lending and from offering more products to the "underbanked" -- those who don't seek banking products or services, many because they don't think they will qualify. Moving to "explainable AI" will remove much of the mystery around AI, and, as a result will drive adoption of more AI-driven services experts agree. The Global Explainable AI (XAI) market size is estimated to grow from $3.50 billion in 2020 to $21.03 billion by 2030, according to ResearchandMarkets.

More than thirty years ago, Fred Davis developed the Technology Acceptance Model (TAM) as part of his dissertation at MIT. It's one of the most widely cited papers in the field of technology acceptance (a.k.a. Since 1989, it's spawned an entire field of research that extends and adds to it. What does TAM convey and how might today's AI benefit from it? TAM is an intuitive framework.

Delivering the right products and prices, for every sales engagement, at lightning speed, requires the power of proven AI technology. But how do you get your sales team to get on board with prescriptive pricing recommendations when they've been doing it their way for so long? Follow these tips to help ensure your sales team follows your customer deal pricing recommendations. Once they see how AI-powered pricing shortens approval cycles, enables them to price quickly and accurately, and helps identify new opportunities, they'll be hooked. Alex Smith has over 10 years at PROS helping companies Outperform in pricing & sales effectiveness across all our industries and regions.

AntWorks, a global provider of artificial intelligence and intelligent automation solutions powered by fractal science, today announced an exclusive partnership with the SEED Group, a member of The Private Office of Sheikh Saeed bin Ahmed Al Maktoum. The partnership will support expansion of intelligent automation within the Middle East (ME), a region where AI is expected to become a US$320 billion by 2030. The SEED Group establishes groundbreaking companies with a strong presence in the Gulf Cooperation Council (GCC) and will work with AntWorks to offer ethical AI solutions for GCC companies with ANTsteinTM SQUARE, the world's first and only Integrated Automation Platform (IAP), powered by fractal science. AntWorks seek to replicate its success across Asia, the UK and US, where the organisation has automated entire business processes end-to-end for many clients across the BFSI (Banking, Financial Services and Insurance), transportation, logistics and public sector, among others. With successful adoption of AntWorks' IAP solution, businesses will stand to save millions and realise increased performance and efficiency by automating and processing business data, including unstructured data, which will make up 80% of the world's data by 2025.

With successful adoption of AntWorks' IAP solution, businesses will stand to save millions and realise increased performance and efficiency by automating and processing business data, including unstructured data, which will make up 80% of the world's data by 2025. The partnership will help the GCC become a blueprint for the AI economy in the rest of the Middle East, Turkey and Africa, especially as governments look to diversify and drive revenue from non-oil and gas sectors. "We are deeply honored to partner with The Private Office of Sheikh Saeed bin Ahmed Al Maktoum and SEED Group expanding our reach into the Middle East," said Asheesh Mehra, AntWorks Co-Founder and Group CEO. "We see our partnership with SEED Group as an incredible opportunity to bring AntWorks' leading expertise in artificial intelligence to the GCC - helping the UAE's Ministry of AI realise its 2031 Artificial Intelligence Strategy. This is a market that thrives on innovation and has taken some of the most ambitious steps in the world in adopting the use of AI across government and business as they seek to create new economic, social, and educational opportunities for citizens. We look forward to a powerful and productive relationship that will make straight-through processing a reality across the GCC."

Digital imaging in all of its forms is becoming more powerful and more integral to medicine and healthcare. Deep learning can capitalize on all of the patterns that can be extracted from very large datasets and used for interpreting still and moving images, according to Naylor. "Deep learning and related machine-learning methods can also learn from massively greater numbers of images than any human expert, continue learning and adapting over time, mitigate interobserver variability, and facilitate better decision-making and more effective image-guided therapy," he wrote.

What's clear from the new 2018 research is that AI technologies are no longer experimental or hidden behind the scenes, but rather they are already broadly deployed, producing real results and impacting business strategy,