DataStax, a provider of data-powering generative AI applications, has published its top five predictions for 2024, indicating generative AI will dominate organisational priorities this year. The company's insights offer a glimpse into the evolving role of AI as companies endeavour to create game-changing AI applications that redefine consumer and organisational interactions.
Firstly, DataStax forecasts tighter regulation around AI due to increasing backlash from consumers and regulatory bodies. The fast rise of AI, exemplified by the viral popularity of AI models like ChatGPT and DALL-E, has sparked societal and legislative concerns. These concerns culminated in the OpenAI and Sam Altman incident, leading to a heightened focus on AI regulation, especially in the European Union. The pressure also mounts from workers fearing job displacement due to AI.
Secondly, dark AI, or the use of AI for malicious purposes, is expected to cause societal and business disruptions. Factors include potential use in financial fraud, organised crime, bioweapons, and terrorism. Along with being used in "deepfake" production and illegal financial operations, there are also apprehensions of uncensored AI models, potentially empowered by rogue states, causing harm. Equally, it's anticipated that these models could be utilised for cybersecurity and countering malicious use.
Thirdly, only AI companies proficient in managing governance, risk, and compliance requirements will survive the increased regulation. Companies that possess the foresight and clout to build effective government relationships will thrive. One to three new major players are likely to meet this demand, providing turnkey, compliant AI solutions.
Fourthly, DataStax envisages GenAI driving operational efficiencies in the SMB sector, sparking transformation and disruption. Unlike large enterprises still testing generative AI, SMBs' agility allows faster experimentation, innovation, and deployment of AI technology. This can range from automating content creation to demand generation, demonstrating an accelerated adaption of these technologies by smaller organisations.
Lastly, DataStax predicts the emergence of "Instagrams" of GenAI applications in 2024. Similar to the advent of the iPhone when numerous apps appeared, and only a few, like Instagram and Facebook, stood out, the dominance of certain GenAI applications is expected this year.
Cutting-edge, agile businesses employing AI will introduce fresh consumer and business engagement models. Early examples include Alpha Ori's disruption of the international shipping business, PhysicsWallah's use of GenAI for EdTech catering to millions of students, and Skypoint's AI-based healthcare automation, saving physicians and medical providers up to 10 hours a week.
DataStax is a company that powers generative AI applications with real-time, scalable data, production-ready vector data tools that generative AI applications need, and seamless integration with developers' stacks of choice. The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications.
With DataStax, any enterprise can mobilise real-time data to quickly build smart, high-growth AI applications at an unlimited scale on any cloud. Hundreds of the world's leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, VerSe Innovation, and many more, rely on DataStax to deliver real-time AI.