Artificial intelligence (AI) is something that you've probably heard of if you haven't lived under a rock in a while. But how can artificial intelligence be used to improve e-commerce? Artificial Intelligence (AI) is changing every aspect of our lives. Artificial intelligence is used to some extent in self-checkout cash registers and airport security checks. Already, e-commerce companies use AI to better understand their customers, increase revenue and provide better customer service to current clients.

An upcoming segment of Advancements with Ted Danson will discover how developments in technology are making artificial intelligence universally accessible. Viewers will learn how the technology is disrupting the Cloud and Internet of Things market, enabling businesses to supercharge their intelligence layer effortlessly, and allowing users to seamlessly embed and run AI-powered applications on any device, from anywhere in the world. Audiences will learn how SliceX AI is building a next-generation intelligence engine that makes AI fast, cost-effective, and easy to train and deploy across devices and use-cases. The show will explore how the proprietary technology's built-in privacy and breakthrough performance allows businesses of all sizes and developers to get their own slice of next-generation AI and apply it to any vertical such as retail, finance, customer support, health and many more. "Over the past few years, we have witnessed an explosive growth in software-driven automation via AI and the creation of advanced intelligent systems However, given the staggering amount of computing power and cost required to develop and deploy cutting-edge AI in production, it is no surprise that most of the recent progress in AI has been driven by and limited to a handful of large companies that have access to plenty of resources at their disposal," said Sujith Ravi, Founder & CEO of SliceX AI.

In today's digital environment, data-driven decision-making is increasingly becoming the standard. Large and small businesses take advantage of data collecting and analysis because they are more accessible than ever before and achieve excellent outcomes. However, extracting valuable insights becomes more complicated when your data grows to "big data" dimensions. We'll define big data later, but first, let's put the technology in perspective. The convergence of big data and artificial intelligence (AI) is critical for extracting value from the data you've gathered.

The outbreak of the global pandemic has led to increased awareness and realization amongst the people about how technological advancements and innovations can be leveraged to help organizations and individuals to cope up with the drastic changes the world is witnessing across all levels. Consumers and their changing needs drive different industries. The way patients are consuming healthcare services is evolving, especially after the COVID-19, the consumer behavior has changed drastically. Pandemic, changing patients' needs and technological advancements are some of the few factors which are accelerating to change the dynamics of the healthcare industry. Patients are expecting new virtual and digital healthcare services from the healthcare institutions and to cater to those expectations, healthcare facilities have to change their work processes.

Dmitry Dolgorukov is the Co-Founder and CRO of HES Fintech, a leader in providing financial institutions with intelligent lending platforms. Companies seeking to implement artificial intelligence (AI) solutions often find themselves faced with a lack of knowledge and high costs, and that's before they even get started. According to a 2017 survey by Deloitte, 47% of businesses complained of difficulties integrating AI projects into their current systems. Meanwhile, 40% noted cost as a significant inhibiting factor. And 37% said managers simply don't have enough expertise to implement AI successfully, making artificial intelligence and its benefits inaccessible.

One of the common mistakes made by decision makers during the process of incorporating artificial intelligence into their enterprise, is attempting to view artificial intelligence as either good or bad. I want to explain here why this approach could be an indication of fundamental ignorance about artificial intelligence systems. The key premise of the field of artificial intelligence is to develop smarter computers that can better understand the world that surrounds us. Artificial intelligence is therefore an important technology component that is helping us develop better tools and systems. Like every other piece of technology, the field of artificial intelligence has its benefits and pit-falls.

SimilarWeb, the world's leading digital intelligence company, announced the next generation of SimilarWeb's Digital Marketing Intelligence and Research Intelligence solutions, built to empower decision-makers to improve digital strategy and execution at every level of the organization. SimilarWeb introduced dedicated solutions for marketers and researchers early last year, and with today's product updates, is transforming the entire process of surfacing digital insights with a use-case-first model. "SimilarWeb has helped me close new partnerships and increase revenue for years. Recent innovations to the Digital Marketing Intelligence solution have empowered me with a more comprehensive understanding of the affiliate landscape to identify the most profitable partnership opportunities," says Stephanie Cloud, Director of Online Sales & Partner Marketing at MGM Resorts. Easy to use and powered by the world's most comprehensive digital data, the new Digital Marketing Intelligence and Research Intelligence solutions allow users to not only save time and resources but to also swiftly seize market opportunities and mitigate emerging threats.

It was soon evident that embracing digital technologies and using AI-driven analytics was the only way to remain buoyant and navigate the disruptions. Several companies worldwide have already transitioned to the work-from-home concept and have adapted to the modern distributed work ecosystem (See: How is digital transformation shaping the new future?). For CIOs, realigning priorities and accelerating enterprise innovations continue to be a roller-coaster experience amidst these unprecedented times. More and more enterprises are now leaning on data science and analytics to optimize business performance and drive growth. With virtual communication taking the center stage, there is a growing emphasis on implementing AI-based workforce analytics and business intelligence solutions to fast-track digital transformation and generate deeper operational insights to respond faster and steer the volatile economic landscape.

CloudCommerce, Inc, a leading provider of digital advertising solutions, announced that it has entered into a license agreement with Pattern89 to add its artificial intelligence (AI) technology to SWARM, the Company's proprietary audience intelligence solution. Pattern89, a leading developer of artificial intelligence solutions for marketers, offers a predictive creative performance platform that allows advertisers to know the performance of ads before the launch of a campaign. By adding Patter89 to its growing tech stack, CloudCommerce's SWARM will allow the Company's clients to know why some creative works better than others and how to construct media that performs. With the Predict89 layer in place, SWARM will analyze 2,900 creative dimensions of a client's ads. It will cross-analyze billions of Facebook advertiser data points, within its proprietary data set. Then, using artificial intelligence it will find statistically significant creative to improve campaign performance.

Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious actives as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth. Ripjar, a UK company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the UK's equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform -- which it calls Labyrinth -- and scaling the business. Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.