Trend Micro is integrating AI into its cybersecurity platform to empower organizations with enhanced capabilities.
SAP board member and head of global product engineering Thomas Saueressig describes why customers are moving to the cloud and S/4HANA Cloud ERP.
SAP’s Thomas Saueressig speaks with Bob Evans about SAP’s S/4HANA Cloud, digital transformation, and generative AI.
In part 2 of this free course from Acceleration Economy, learn how to successfully bridge the gap between buyers and sellers in the ever-evolving business technology landscape.
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.
Oracle Industries EVP Mike Sicilia explains why banks are shifting to the cloud, citing elasticity, security, and greater velocity.
Oracle Industries EVP Mike Sicilia tells Bob Evans how Oracle brings its vertical industry capabilities to the financial services industry.
Databricks names Dataiku and Qlik 2023 Global Partner Award winners, demonstrating the importance of the partners ecosystem in helping companies develop new products and services.
Mercedes-Benz, Ulta, and Toyota are co-creating with leading vendors to leverage AI for extraordinary customer experiences.
Mercedes-Benz and Microsoft collaborate to integrate ChatGPT functionality into vehicles, revolutionizing natural language understanding and enabling advanced voice commands and third-party service integration.
Organizations must ensure they’re using quality data to achieve the best results in hyperautomation environments.
Bob Evans shares his expectations for Microsoft’s Q4 earnings, in which he predicts Microsoft Cloud revenue will exceed $30 billion.
Wayne Sadin and Aaron Back offer their takeaways from an interview between Bob Evans and Ivo Koerner, General Manager, Chief Revenue Officer, IBM Cloud.
As the insurance industry runs on vast amounts of data, Workday provides a unique approach to meet insurance customer needs.
Bob Evans predicts that the generative AI revolution will drive a $30 billion Q4 in cloud revenue for Microsoft.
The blurring lines between AI and low-code are reshaping software development, as AI complements low-code platforms and expands their capabilities.
Businesses must spend time evaluating token-based pricing schemas to determine which large language model (LLM) best meets their needs and their budget.
J.P. Morgan’s Payments Partner Network and Six Flags’ new payment technology implementations demonstrate the power of ecosystem partnerships for innovation and value creation.
Toni Witt hosts the first Acceleration Economy AI Index Report, covering the latest in AI innovation, M&A, and naming the top product of the week.
Oracle leverages generative AI in Oracle Fusion Cloud HCM to boost productivity by enabling automated content generation, intelligent recruiting, and data summarization.
For businesses to minimize the costs of language models, they must understand token-based pricing and compare providers such as OpenAI and Anthropic.
Bob Evans previews the Q2 earnings results of SAP under CEO Christian Klein, as we approach its July 20 release date.
Bob Evans discusses the upcoming release of SAP’s Q2 earnings results and cites five metrics that suggest that the results will be powerful.
Process mapping is a qualitative view of what’s happening in a business, whereas process mining is a quantitative look based on data. Learn how to use each to improve your procurement processes.
Traditional go-to-market strategies are no longer working in today’s digital-first world, creating a disconnect between buyers and sellers. Learn why in part 1 of this free course from Acceleration Economy.
Market-leading growth rate, compared with the decline in AWS’ growth, raises the specter of Oracle overtaking Amazon in the Cloud Wars Top 10.
Bob revisits the Cloud Wars Top 10 rankings as the latest growth rates of Oracle might move it up the ranks past Amazon’s AWS.
AI Copilot Podcast

AI Agent & Copilot Podcast: AIS’ Brent Wodicka on Operationalizing AI, the Metrics That Matter
Cycle time, accuracy, cost per successful task completion, and end-user satisfaction are vital metrics that will give visibility into the success of AI projects.