San Francisco-based customer service AI and support company Forethought has launched SupportGPT, a generative AI platform that automates workflows, allowing customer service teams to focus on more value-adding tasks. The move is part of a general industry surge to streamline customer support with the latest generative AI technology. Call centers are now an AI target, with Gartner analysts predicting potential savings of up to $80 billion by 2026 if call centers switch to AI-powered chatbots. Forethought seeks to combine OpenAI's technology with its own proprietary generative AI capabilities to streamline the customer support experience. It will take customer support to a new level, according to Deon Nicholas, CEO and cofounder at Forethought.

Deon Nicholas is the CEO and co-founder of Forethought, the AI company whose mission is to transform customer experiences with human-centered AI. Forethought has raised over $100 million in venture capital, including from NEA, which led Forethought's $9.52 million Series A. Hear from NEA's Vanessa Larco on what convinced the firm to invest in Forethought, and see Forethought's early pitch deck that promised to up-end the customer service industry. This event opens on June 29 at 11:30 a.m. The interview begins at 12 p.m. PDT followed by the TCL Pitch Practice at 12:30 p.m. PDT. Join us! Click here to register for free and gain access to Forethought's pitch deck, enter the pitch-practice session and access the livestream, where you can ask the speakers questions.

What is "Cyber Intelligence" in relation to SecOps? Are we talking about a SIEM (Security Information and Event Management) that has intelligence? Although that is necessary, it is not sufficient. Many people talk about Artificial Intelligence these days where a SIEM learns more about threats in the environment and then makes decisions based on them. This is an intriguing component and our SIEMs are growing in that direction.

It is hard to imagine a world without the banking industry being the gatekeeper of the global financial system. If banks want to grow market share and extend their value, they have no choice but to wholeheartedly adopt data-driven enabling technologies and their acronyms: #AI, #ML, #DL, #NLP, #NLG, #RPA, #RaaS…..which I bucket as advanced analytics and decisioning. The industry is plagued with inefficiencies that will be the death of banks. Under the hood, most institutions still operate using older, siloed, and static core systems with poor quality, inconsistent, and heavily customized data. They have accumulated a decade of shelfware, are slow to change, and are barely managing their compliance obligations.