Adapting to Changing Buyer Demands with AI

Adapting_to_Changing
Companies across industries face new challenges connecting with empowered consumers. Customers have been completely altering their shopping habits in recent months like never before. With shops closed or limited entry, purchasing has shifted to online, loyalty has shifted by industry and brand, safety is paramount, and all of it varies by geography. Compounding the challenges, consumers expect more information that is tailored to them about what to buy and where the best deals are. In this webinar we take a look at how injecting machine learning into your existing business intelligence solutions and processes can fundamentally change how you connect with customers, and ultimately improve business results.
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

ESTABLISHING YOUR PROCUREMENT AI GAME PLAN

Webinara

For all the ‘buzz’ about AI, it is really just an approach that brings together two elements that procurement is very familiar with: information and analytics. Add business objectives to the mix, and you are poised to benefit from what we think of as artificial intelligence. When we approach AI as technology only, or even as technology first, it not only makes it seem too abstract to be implemented, it also ignores the huge role that strategic thinkers and business leaders must play in its application. Without the definition and articulation of data-driven business objectives, even the smartest machine is just holding information and waiting for a query to be submitted.
Watch Now

Practicalities of Artificial Intelligence Making AI Business-Smart

SAS

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
Watch Now

Unlock use cases with democratized data and AI platforms

Adopting artificial intelligence (AI) has become a strategic imperative. Early adopters are achieving massive returns, while those who wait run the risk of falling behind. In order to empower more decision-makers across business units, it is essential for organizations to embrace democratization of both data and AI.Companies seeking to democratize the entire AI lifecycle are mobilizing new data. However, a key challenge is that internal data is often siloed and restricted, which makes discovery and deployment harder than ever.
Watch Now

Making Security Cloud-Friendly

F5 Networks

Security in the cloud vs. cloud security – whose job is it anyway? According to F5 Labs researchers, 86% of successful data breaches begin with compromises of the application layer services or user identities – placing responsibility for app security squarely in the hands of the app owners, developers, and enterprises deploying them. Application security can be difficult and daunting, but it doesn’t have to be.
Watch Now