Take four rather opinionated people about AI--and damn near everything else--toss in geopolitics and you get an AI debate that mimicked gorillas pounding their chests.
Agentic AI is developing at a rapid clip with cloud giants, software companies and enterprises racing to create autonomous agents. The catch is that there little integration across platforms, standard are lacking and orchestration and context is missing.
Microsoft launched a series of AI agents and an AI accelerator program for sales as it outlined a bevy of customer references implementing the software giant's copilots and agents.
Nvidia delivered strong results in the fourth quarter as its data center business posted growth of 93% from a year ago.
Snowflake Cortex AI will integrate Microsoft Azure OpenAI Service in Azure AI Foundry. That move will put OpenAI's models Snowflake and make them available as data agents in Snowflake's AI Data Cloud.
Amazon launched Alexa+, a revamped version of its voice assistant powered by generative AI models such as Amazon Nova and Anthropic Claude via AWS' Amazon Bedrock.
The plan for IBM is to leverage DataStax's technologies and combine them with its Granite large language models. IBM will also be a bigger player in vector databases and leveraging unstructured data for enterprises.
Qualcomm said it has launched a new brand called Dragonwing as it expands its footprint more into enterprise and industrial use cases.
Salesforce and Google Cloud have expanded a partnership that will bring Google's Gemini models to Agentforce, integrate Salesforce Service Cloud tightly with Google Customer Engagement Suite and enable handoffs between the companies' AI agents.
Voyage AI embeds and reranks models based on accuracy in retrieval augmented generation (RAG). MongoDB's bet is that these tools should be in the database layer to improve accuracy of models before they wind up in the AI agent pipeline.
CxOs say that software-as-a-service business models that include consumption are going to require a learning curve as well as a few surprise bills. Nevertheless, there may be benefits to consumption-based models even with drawbacks. Here's the breakdown of the pros and cons.
Five9 is betting that the contextual data layer above AI models will be just as critical to enterprises, and potentially be the difference in return on investment.
