AI Innovations Transforming Enterprise Technology and Data Management in 2024

The 6 next big things in enterprise technology for 2024

Some of the AI tools with the greatest impact to perform useful work don't go out of their way to call attention to themselves. These companies are applying the technology to jobs such as streamlining business processes, improving customer support experiences, and even making video meetings feel a little more natural. aiOla For giving voice to jargon-filled paperwork Frontline workers such as forklift drivers often wrestle with paper forms as part of their everyday tasks. aiOla replaces paper -- and even tablet-based input -- with a voice-driven interface that lets workers talk rather than writing or typing. To accomplish that, its Jargonic technology can scan existing paper or digital forms and understand their purpose, including industry-specific terms. The company says its AI has achieved 95% accuracy for jargon-filled voice recognition. Antithesis For killing bugs dead Buggy software is always annoying. In worst-case scenarios, its's dangerous. Antithesis's technology automatically and continuously scans code for flaws in an isolated testing environment where the bugs can do no harm to real-world operations. After five years of development, the company launched its product in February 2024 and is working with customers such as MongoDB, Palantir, and Ethereum. Intercom For putting AI to work in customer service Intercom's Fin AI Copilot is designed to give service reps quick access to the information they need to resolve issues, so they can focus on the meaningful aspects of customer interactions that only a human can provide. The company says it can increase agent efficiency by 31%, speeding responses by up to 75%. The service works in concert with Fin Agent, an AI chatbot that can field up to 80% of customer questions on its own, helping human reps devote their full attention to thornier issues.

The 11 next big things in AI and data innovations for 2024

The AI big bang that first caught the world's attention with ChatGPT is sending energy and innovation out in many directions. Large language models aren't just chatting and summarizing text: Now they're also reasoning through problems with increasing autonomy. The text-only models of two years ago have become multi-model -- capable of processing everything from audio and video to computer code and robotic movements. Big companies are deploying AI models and apps in new ways, and AI infrastructure startups are finding no shortage of pain points in that process to address. These companies deserve special attention for pushing these transformations toward real-life advances within business, science, and personal AI. Bellwether For applying AI to extreme weather event response As climate change gives rise to more extreme weather, fires, and floods, the world needs new technologies, including AI, to understand them. Bellwether, which is being incubated at Alphabet's X research lab, uses AI to process and analyze satellite imagery, then provides disaster response teams with the maps and insights they need to best deal with disasters on the ground. Since earth observation data is ever-changing, Bellwether developed advanced simulation techniques to unlock new insights into the effects of natural events on both human-made and natural structures. For example, its tools have been used to predict wildfires as well as to analyze hurricanes or flood zones, so that relief resources can be deployed more quickly. Blackbird.AI For creating a weapon against online misinformation In an online world where bad actors muddy the waters with disinformation to the point where the truth can seem unknowable, netizens and brands need a sane fact-checker at their side. That's what Blackbird.AI has built with Compass, a web app that lets users reality check suspicious claims made in social media posts, videos, links, and memes. When they paste a piece of content into the Compass tool, it checks it against thousands of trustworthy sources and generates an answer accompanied by footnotes and citation links. Businesses can use Compass to locate and counter false narratives about their brands. Databricks For putting powerful AI models where the data lives Enterprises are increasingly using AI models to look for insights within their proprietary data, from documents and video to transcripts of support calls. Hosting and enabling analytics on enterprise data within a single cloud is Databricks' claim to fame. Databricks customers can train its DBRX AI model on their own data to get business-specific answers to questions. For example, a healthcare organization could use the model to look for patterns of disease across thousands of electronic patient records.