Why enterprise, process workflows are the new battleground
Enterprise workflows are quickly becoming the new battleground for tech vendors as providers that have the customer data race to ensure they don't merely become systems of record.
The Future of Work analyzes the confluence of technological, demographic and cultural trends, challenging the traditional work paradigm. Where we work, when we work, how we work, and why we work has evolved dramatically. Constellation's Future of Work offerings arm clients with the knowledge to utilize workplace trends to create an engaged, empowered and efficient workforce.
Enterprise workflows are quickly becoming the new battleground for tech vendors as providers that have the customer data race to ensure they don't merely become systems of record.
ServiceNow reported better-than-expected second quarter earnings and announced that president and chief product officer CJ Desai will leave the company after an internal investigation.
Meta released Llama 3.1 405B, an open "frontier-level model" that aims performs as well as proprietary models. For Meta CEO Mark Zuckerberg, the Llama cadence is designed to play the long game and bet open-source models ultimately win.
Enterprises are beginning to leverage AI and widen their profit moats just as some companies are seeing customers wobble. The efficiency gains are beginning to highlight how digital transformation and AI strategies are becoming self-funding, keeping expenses below the rate of inflation and optimizing processes.
Microsoft researchers have cooked up SpreadsheetLLM, a method that encodes and optimizes large language models (LLMs) so they can understand spreadsheets.
Enterprises have thousands of use cases for generative AI and are now working through prioritizing them and ultimately moving to production. At AWS Summit 2024 in New York, a panel of partners and integrators talked about Amazon Q early adoption and genAI use cases with a focus on pilots to production.
The recent backlash on diversity, equity, and inclusion (DEI) programs stems from both the lack of quantitative data showing how diverse teams improve performance and the discriminatory nature in how these teams were constructed. In 2015, a McKinsey study lauded the dividends to be gained from diversity. The well meaning Davos set used this study to launch a movement for diversity, resulting in hundreds of billions spent on diversity programs across businesses, the public sector, and non-profits over the past decade.
Generative AI appears to be scaling lookalikes at a rapid clip and the big unknown is how long originality will last.