Meet YouChat, YouChat is like any other online search engine. This tool allows users to perform basic online searches in a more conversational way, similar to Google. Users can also use chatbots to ask questions. The company announced the first version of an artificial intelligence (AI) tool called Search and Chat of the Future. The company wants YouChat to address its two search engine problems.

With YouChat, the company aims to resolve two issues in search engines. First is to make online search more intuitive, helpful and faster. The second is to make LLMs more reliable. For those unaware, LLMs stand for Large language models that represent a major advancement in AI and promise to transform domains through intelligence via learned knowledge abilities. Open, broadly capable, conversational AI for search with knowledge of recent events and citations of sources," writes the company's CEO Richard Socher in a post introducing the tool. The CEO also explains the working and features of the conversational search engine in a series of tweets. He says that YouChat has similar capabilities like ChatGPT. But YouChat "advances the AI field of large language models by incorporating the you search and app platform." "youChat knows about recent events and can provide citations for its answers," he adds. YouChat can respond to prompts like an AI sidekick that reads, writes, and summarizes information for you. Users will be able to get information in easy-to-understand sentences, not a list of links, the company says. It will help understand complex concepts and can also be used to resolve daily problems like getting ideas for essay outlines, writing coding or ideas for Christmas gifts for that matter. The search engine tool is powered by AI and natural language processing that are said to offer human-like conversations with it. Yes, like all AI models, YouChat too has its own limitations. As pointed out by many users, it hallucinates references, links are outdated and relevant for many topics and it also shows outdated images too among other issues. "While youChat will be more often up-to-date and truthful than other large language models, it still makes mistakes.

In 2016, I visited the CEBIT conference in Hannover. It was full of so called'smart' things which I did not find smart at all. This'smart' things hype included, in fact, many devices which were simply'connected' and which, in most cases, delivered a narrowly defined single purpose benefit to the user. However, one very special presentation at CEBIT influenced my views on how AI might be delivered in the future. IBM presented a research project called SyNAPSE, developing an AI chip named'TrueNorth' which could deliver computing power equivalent to the brain of an ant while consuming just 73mW of energy.

In 2016, I visited the CEBIT conference in Hannover. It was full of so called'smart' things which I did not find smart at all. This'smart' things hype included, in fact, many devices which were simply'connected' and which, in most cases, delivered a narrowly defined single purpose benefit to the user. However, one very special presentation at CEBIT influenced my views on how AI might be delivered in the future. IBM presented a research project called SyNAPSE, developing an AI chip named'TrueNorth' which could deliver computing power equivalent to the brain of an ant while consuming just 73mW of energy.

I think it has become a cliché now that "digital transformation leads to new business models". In reality, new business models are hard to come by, and even if you chance upon something new and compelling, it is extremely difficult to protect your innovative idea because competitors have become more adept at responding to such innovations quickly. Companies are therefore on the lookout for new forms of competitive advantage that are enduring, sustainable, hard to copy and valuable. Most businesses derive their business model following Peter Drucker's "theory of the business": the organisation's positioning with respect to the environment (market, governments, society), the organisation's mission with respect to deliver something valuable and relevant to the environment, and the capabilities needed to not only accomplish the organisation's mission but also to establish sustainable business growth over a long period of time. Having an idea about these aspects of business model is a good starting point, and for sure, will give you the answers to the "what?" and the "why?" of your business.

It is impossible to become a'Bank of the Future' with strategies and a culture set in the past. Banks and credit unions need to find the talent and leadership that can disrupt what is comfortable and set a new path going forward. Subscribe to The Financial Brand via email for FREE!The banking industry is being transformed more than ever in history, with the confluence of new technologies, new delivery channels and new competitors promising a future much different than what the industry has become accustomed to. Despite the handwriting on the wall, not everyone seems to be on the same page … or maybe they are. Representatives of major banks, US and European, repeat two mantras that seem to be part of some'Learned Helplessness Support Group'.

The title was inspired by the 1996 documentary "When We Were Kings" about the heavyweight fight of 1974 between two boxing legends, Muhammad Ali and George Foreman. In the not-so-distant future, it will also be a fitting phrase for many in the banking and insurance industries. Readers may ask themselves why I'm talking about banking and insurance in such doom-ridden terms. My bleak forecast doesn't stem from the notion behind the common fintech (financial technology) and insurtech (insurance technology) industry pitch that they will change their respective industries with innovation and better customer experiences. Although I firmly believe that some of the startups will cause significant pain to the incumbents and will indeed change their respective industries.

In the blink of an eye, consumers have evolved from being wary of mobile banking to casually quizzing robots in their home about their spending habits. Innovation in banking will continue at its rapid pace in 2018 as more of every bank's budget is earmarked toward technological development, said Mitch Siegel, financial services strategy leader for KPMG. "As we moved through 2017, we saw a marked pivot from investments in compliance infrastructure to investments aimed at growth, scalability, simplicity and future-looking business models," he said. American Banker spoke with several banks, industry analysts and technology companies to learn what technology efforts will take priority in the new year. Here are five areas of focus.

The title of this post was inspired by the 1996 documentary "When We Were Kings," about the heavyweight fight of 1974 between two boxing legends, Muhammad Ali and George Foreman. In the not-so-distant future, it will also be a fitting phrase for many in the banking and insurance industries. Readers may ask why I am talking about banking and insurance in such doomsday terms. My bleak forecast does not stem from the notion behind the common fintech (financial technology) and insurtech (insurance technology) industry pitch that they will change their respective industries with innovation and better customer experiences, although I firmly believe that some of the startups will cause significant pain to the incumbents and will indeed change their respective industries. One day, some of the existing and as-yet-unlaunched fintech and insurtech companies will also become incumbents that other startups aim to disrupt.

Academia is supposed to be a place where creative types can be free, and with that freedom accomplish great things, whether it be new art, breakthrough treatises, scientific discoveries, or feats of engineering. But academia isn't what it used to be, and to provide some insights into some of its problems, I compared notes with friend and former colleague, Nick Cassimatis, who is associate professor in the Department of Cognitive Science at Rensselaer. In our own ways, he and I have found severe limitations in academia today, limitations that led to my leaving academia to co-found a research institute, 2AI to be funded by intellectual property, and that led Nick to start his own company outside academia, SkyPhrase in order to achieve his ambitions in artificial intelligence. Nick's romantic ambitions started early – he began research into artificial intelligence and natural language at the precocious age of fifteen, and wrote a French-to-English translation program that helped put him on the Top-20 High School Students List by USA Today. More than simply artificial intelligence, his aim is to understand human-level intelligence, and how it can come about via many unintelligent parts.