Celonis co-CEO Alex Rinke lists scalability, innovation, and embedded knowledge as his firm’s top three differentiators in a discussion for Process Mining Battleground.
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Rob Enslin, co-CEO of UiPath, discusses the company’s turnkey automation platform and its long history with artificial intelligence (AI) as part of the Process Mining Battleground.
AI Index Report episode 3: IBM releases watsonx.ai platform for enterprises; Databricks acquires MosaicML for $1.3 billion; and Amazon announces Amazon CodeWhisperer copilot.
By providing a data-driven perspective on existing processes and enriching this understanding with AI, process mining can reveal customer experience inefficiencies and recommend improvements.
Mercedes-Benz, Ulta, and Toyota are co-creating with leading vendors to leverage AI for extraordinary customer experiences.
The potential of generative AI goes far beyond image generation and blog writing—it is a game-changer for staying ahead of evolving cybersecurity threats.
Generative AI will play an increasing role in graphic design. Learn how graphic designers can capitalize on AI to enhance their work while working around its limitations.
With the release of its first large language model, Stability AI serves as an open-source alternative to OpenAI’s ChatGPT.
Now is the time to sit down with your marketing and sales leaders to understand the potential and pitfalls of generative AI for your organization. Here are five emerging generative AI use cases to consider.
At Snowflake Summit, the Cloud Data leader details innovations in LLMs, generative AI, and app development functionality.
Artificial intelligence pioneer IBM very much remains in the AI game, while its places strong focus on hybrid cloud and co-creation initiatives.
Today’s customer is giving highest priority to efficiency, optimization and saving money over innovation, Celonis co-CEO Alex Rinke says.
Alex Rinke, the co-CEO of Celonis, shares his views on how process data makes generative AI more of an enterprise application, and why being system agnostic is so important.
While advances in automation have greatly benefited businesses, there have still been cases where the technology makes errors. Find out how to contain their impact.
While generative AI can bring much value to an organization, prompt engineering will be a vital skill to get the most of the technology.
Organizations must understand what machine learning, including deep learning, is and what it isn’t to gain the most value from their ML business applications.
AI’s rise means many companies are needing to upgrade their automated processes, but they must ensure they have a plan in place.
The human element plays a vital role in generative AI outcomes – particularly, human intelligence and creativity.
After attending the HIMSS 2023 Global Health Conference and Exhibition last week, Toni Witt recaps his top takeaways from the big healthcare industry event.
Generative AI has the potential to enhance low-code/no-code tools, elevating the capabilities of citizen developers.