On January 5, 2021, OpenAI revealed DALL-E, an artificial intelligence program that creates images from textual descriptions, on January 5, 2021. It uses a 12-billion parameter training version of the GPT-3 transformer model to interpret the natural language inputs and generate corresponding images. Since the initial private beta release, access to DALL-E was limited to those on a waitlist. However, about a month back, on September 28, 2022, DALL-E 2 opened to the public, and the waitlist requirement was lifted. Over the past month, millions of users have explored DALL-E's capabilities using https://labs.openai.com/.

The year 2021 is a recovery year for businesses after the sudden outbreak of the coronavirus pandemic in 2020. This pandemic has begun acquiring phenomenal changes in some key areas. There are several artificial intelligence mergers and acquisitions that happened within hi-tech companies. In September 2021, many mergers and acquisitions took place. The tech giants are always ready to acquire smaller organizations, concentrated principally in niche and imaginative regions that can help in earning better revenue and customer engagement with new products and services in the global market.

For marketers, AI is perhaps the most intimidating abbreviation flying around the boardroom, the event hall, and the company Slack channel. But it doesn't have to be. Just as complex software deployments have become streamlined and marketer-friendly through software as a- service (SaaS), artificial intelligence will be going the same way much sooner than we all think. Before we talk AI, let's first talk personalization--a term marketers are far more comfortable with. Today, many brands face troubles when attempting effective personalization at scale.

We're really excited about Sitecore Cortex. We can see many ways in which it will make the marketers that use the platform happy. You may have heard about Cortex and are wondering what it is exactly and how it might benefit you. Maybe you haven't heard about Cortex, but are interested in what Sitecore is doing with Artificial Intelligence (AI) and Machine learning. Here's our thoughts on what we consider to be a potential game changer.

Sitecore Symposium 2019, Orlando, Fla. – Nov. 5, 2019 -- Sitecore, the global leader in digital experience management software, today announced Sitecore AI, a new machine learning framework that empowers marketers with predictive insights to automate the delivery of personalized digital experiences. Automated Personalization -- an add-on for the Sitecore Experience PlatformTM (XP) 9.0 and above -- is the first of the next-generation services within Sitecore AI, providing one of the industry's first solutions powered by Microsoft Azure to automatically identify visitor trends, create customer segments, and modify page elements to deliver personalized experiences. Sitecore AI amplifies the power of Sitecore XP to deliver individualized, contextual experiences that guide visitors along their journey with content that is useful and actionable. It can analyze a customer's behavior to understand their interests and intent, enabling marketers to learn about where each person is in their journey -- without the guesswork -- and determines the best content for each customer while continuously optimizing their experience, nurturing them toward conversion. "Sitecore AI helps us solve the content crisis for marketers by giving them the intelligent insights they need to optimize content creation and personalized experience delivery at massive scale," said Desta Price, executive vice president of product, Sitecore.

One of the world's leading brands in delivering digital experiences, Sitecore brings nearly two decades of expertise in reimagining customer experiences. From its founding in 2001 in Copenhagen, Denmark, the firm has become a powerhouse, known and relied on by its customers for its innovation and ability to push boundaries in technology to create differentiated digital experiences. Given that Sitecore operates in digital mediums, the company routinely handles vast arrays of data and content. Finding ways to maximize the value of that data and content has been an important focus for the company over the years. That is why the advent of artificial intelligence (AI) was of great interest to its leadership, for its potential to treat data and content in entirely new ways.

Digital transformation projects are normally pursued for their ability to improve engagement between an organisation and its customers. But there is much to be said for their ability to boost staff engagement levels too. For 113-year-old Perth-based roadside assistance organisation, RAC WA, its digital alignment program is doing both – approving the agility with which it can respond to member requirements, while enabling its digital and data teams to gain greater recognition within the organisation. In 2017, RAC WA had completed a three-year journey to migrate its core presence on to Sitecore hosted on Azure. According to RAC WA senior digital UX manager Richard Quance, it was time to look for ways to demonstrate the agility that new platform unlocked.

Now that machine learning has moved out of the hands of a select few and is accessible to a broader market and set of use cases; it's good to look at how different technology providers are leveraging it to improve and expand their products in the name of a better customer experience. How can you take advantage of machine learning and AI to improve your e-commerce experiences? Ryan R Donovan, SVP of Product Management at Sitecore, took me through some tactics Sitecore implements in its CMS and e-commerce solution. There are two key focuses for Sitecore's use of machine learning and AI: Donovan pointed out that Sitecore is focused on providing machine learning-based features that provide real value (as opposed to a great demo). And from a backend perspective, it can help with fraud detection, something that every company with an e-commerce model needs to monitor actively.

I have recently presented my explorations of computer vision APIs(part 1, part 2, and part 3) on the AI meetup in Alpharetta. This time I decided to do something useful with it. When you work with digital platforms (be that content management, e-commerce, or digital assets) you can't go far without organizing your images. Tagging makes your assets library navigable and searchable. Descriptions are a great companion to the visual preview and can also serve as the alternate text. WCAG 2.0 requires non-text content to come with a text alternative for the very basic Level A compliance.