Salesforce users can now gain personalized metrics and insights directly from Tableau Pulse from directly within their CRM workflows.

AI Ecosystem Ep 54: Big tech companies are acqui-hiring GenAI startups to gain both their tech and talent; Glean secures funding for AI search for enterprises; Google AI models are the first to solve highly complex math problems.

SignUp Software CEO Olof Hedin describes how copilot technology is applicable to the office of the CFO and financial management.

Google Cloud Research highlights the revenue impact of GenAI initiatives and shows how companies can avoid ‘pilot purgatory.’

Amazon’s GenAI assistant, Q, has not only showcased its advanced capabilities but also delivered remarkable financial and operational benefits.

California Senate Bill 1047 addresses the need for governance when using AI technologies, balancing innovation with safety.

Amazon’s use of generative AI is saving hundreds of millions in costs and thousands of year of developer time, enabling its teams to focus on higher-value tasks.

From fundraising proposals to Einstein-generated program summaries, Salesforce taps GenAI to help nonprofits operate more efficiently.

ChatGPT wins a major endorsement in financial services from JP Morgan Chase, which is looking to help employees write reports, compose emails, and more.

Hudson River Trading is enhancing its trading models by leveraging Google Cloud’s scalable infrastructure and advanced AI capabilities, including Dynamic Workload Scheduling and Spot VMs, to boost efficiency and innovation in quantitative trading.

AIS Cloud, powered by the groundbreaking Oracle Alloy, offers businesses in Thailand a robust cloud and AI infrastructure — from a major Oracle customer.

Sandra Rivera is driving AI and FPGA innovation at Altera, with a vision for aggressive growth and differentiation from giants including NVIDIA.

Oracle’s Alloy initiative is enabling Thailand-based mobile-network provider AIS to become a cloud provider, entering an entirely new market.

Salesforce’s growth is lagging behind faster-growing ServiceNow, raising questions about the company’s future competitiveness in the cloud and enterprise apps markets.

Marc Benioff’s comments about ServiceNow belie ServiceNow’s superior growth and market performance compared to Salesforce.

AI Ecosystem Report Ep 53: Global smart cities are using GenAI to improve their infrastructure; Canva acquires Leonardo AI for GenAI tools; and Google upgrades smart-home products with Gemini LLMs.

NIST’s newly released AI Risk Management Framework and GenAI Profile offer organizations vendor-neutral guidance to securely integrate AI technologies, aligning with the White House’s executive order for trustworthy AI development.

Organizations must thoroughly plan, budget, and evaluate key considerations before transitioning from on-premise to the cloud.

Research from HYCU underscores the gaps in knowledge and readiness when it comes to protecting corporate data stored in SaaS applications.

OpenAI’s watermarking system for ChatGPT faces challenges in balancing detection accuracy, user impact, and concerns about AI’s role in education and enterprise trust.

IBM’s StreamSets offers real-time data integration and processing for enhanced business decision-making in the GenAI era.

The escalating costs of powering AI advancements have pushed Microsoft, Google, Amazon, and Oracle to invest massively in cloud infrastructure.

AI tools have had a significant impact on investors and investment funds as well as startup founders and teams.

Major tech companies are investing heavily in cloud and AI infrastructure, facing the challenge of driving innovation without raising costs for customers in an uncertain economic environment.

Kate Woolley of IBM explains how co-creation and AI-cloud integration are key to driving innovation and meeting customer needs.

When adopting generative AI, business leaders must strategically plan and invest to ensure success with AI initiatives.

Teradata chief marketing officer Jacqueline Woods describes the importance of having reliable data and trusted AI strategies and models.