Conversational AI for banking – by its very nature – is a constantly-evolving technology. Based on simple human conversations, this amazing science continually refines and optimizes itself each time it interacts with a user. We call this "training the bot", an ongoing process that relies on plenty of data and user interaction to deliver consistently accurate responses from the Finn AI virtual assistant. With such cutting-edge technology, the question I get asked most often is: what's next? At Finn AI, we've recently partnered with Visa to explore what's next.

The goal of a recommender system is to show its users items that they will like. In forming its prediction, the recommender system tries to answer: "what would the rating be if we 'forced' the user to watch the movie?" This is a question about an intervention in the world, a causal question, and so traditional recommender systems are doing causal inference from observational data. This paper develops a causal inference approach to recommendation. Traditional recommenders are likely biased by unobserved confounders, variables that affect both the "treatment assignments" (which movies the users watch) and the "outcomes" (how they rate them). We develop the deconfounded recommender, a strategy to leverage classical recommendation models for causal predictions. The deconfounded recommender uses Poisson factorization on which movies users watched to infer latent confounders in the data; it then augments common recommendation models to correct for potential confounding bias. The deconfounded recommender improves recommendation and it enjoys stable performance against interventions on test sets.

Artificial intelligence or AI is encroaching on the sales process at an exciting rate, or alarming, depending on your side of the coin. Using machine learning, predictive analyses, and big data analytics, AI can now automate routine tasks, unearth insights off sales data, and assist sales reps in enhancing overall service. We see it integrated in CRM, salesforce automation, help desk solutions, and other B2B apps. Even as vendors are pushing the envelope for smarter solutions. The benefits of AI to sales efficiency are high, and the stakes, too.

Alphabet is broken out into its core Google business and a number of other subsidiaries, which it deems "Other Bets." The majority of Google's business comes from advertising revenues, which the company generates through its search engine as well as a number of other Google-affiliated and partnership websites. Outside of search and advertising, Google generates revenue from products including cloud and enterprise, consumer hardware, mapping, and YouTube. In addition to Google, Alphabet encompasses a host of other subsidiaries called "Other Bets." These companies are more experimental in nature, and as a result are not material to Alphabet's bottom line.

If recent clickbait headlines are to be believed, robots are already taking over our schools, relegating "Sir" or "Miss" to the status of a second-rate computer dumped at the back of the class. Yet to many experts, the real value of artificial intelligence (AI) to education may be far more humdrum as a back-of-house tool to free up time for human teachers to build students' social skills, resilience, appetite for learning and character. Miles Berry, principal lecturer in computing education at the University of Roehampton and a key architect of the national curriculum for computing, introduced to replace ICT four years ago, is disappointed at how few schools have exploited the new programme fully. "AI is difficult to teach and schools either lack relevant resources or don't know how to apply them, but in order to plug the technology skills gap, we must give our youngsters time to experiment with creating rudimentary chatbots for example," he says. "Setting up a Google Assistant, Apple Siri or Amazon Alexa and getting it to answer some of the questions that come up in a lesson would be a fairly simple task for many computing teachers, but to get them on-side, we need to talk far more about the role of machine-learning and far less about the dawn of the robots."

Many customer service automation bots like Flow XO, IMI bot are growing in number. A survey by Oracle claims that, '65% of consumers prefer using a messaging app when contacting a business'. The demand is rising because these bots are able to personalize customer service for each business Bots also help in initiating an expression of gratitude to customers. Kudos bot lets you say thank you and organizes delivery. . Gamification stitched with an altruistic objective.

This article is an excerpt from the Pearson Addison-Wesley book "Pragmatic AI" by Noah Gift. Reprinted here with permission from Pearson and 2019. What do Russian trolls, Facebook, and US elections have to do with machine learning? Recommendation engines are at the heart of the central feedback loop of social networks and the user-generated content (UGC) they create. Users join the network and are recommended users and content with which to engage.

According to a recent survey, shopping by voice is expected to grow from $2 billion to $40 billion in the next four years. How far along are smart speakers right now? USA TODAY When Apple (NASDAQ: AAPL) launched its HomePod smart speaker earlier this year, many critics claimed that its high price tag of $349 would prevent it from gaining ground against Amazon's(NASDAQ: AMZN) Echo and Alphabet's(NASDAQ: GOOG)(NASDAQ: GOOGL) Google Home devices, which cost as little as $50. Apple's Siri also lacked Amazon's Alexa skills and e-commerce backbone, as well as Google's larger ecosystem of search and cloud-based services. Those flaws, it seemed, would limit HomePod's appeal to hardcore Apple loyalists. Despite those headwinds, a recent report from Consumer Intelligence Research Partners indicates that Apple has established a foothold in the U.S. smart speaker market, nabbing a 6 percent share.

It's been the bane of any cable TV subscriber. They get frustrated with their provider and want to switch but have few alternatives available. For residents of Los Angeles, Sacramento, Houston and Indianapolis this year, 5G could be change that. These are the four markets Verizon will be testing 5G later this year. The 5G networks have been touted as the next big thing for wireless consumers, a way for them to get faster service, with videos that will open immediately and downloads that will take seconds instead of minutes.

Chqbook is India's largest market place for AI based personalized financial services. Chqbook uses its proprietary TARA AI journey which provides instant and personalized recommendations of products best suited to their credit score, profile and demographics. It also pulls in data from card issuers, banks and credit bureaus to fine-tune recommendations in real time. Chqbook has built the next generation marketplace and provides comparisons, eligibility and a seamless application process across 40 banks and credit card companies. It's rapidly expanding marketplace brings pre-approved loans, credit cards, insurance and mutual funds to the country's gen next with a sharp focus on a magical customer experience each and every time. Vipul has a deep understanding of finances & ideas with the ability to distill them into user friendly interfaces.