AI & RoboticsNews

IBM and Salesforce team up to bring AI tools to their shared clients

September 1, 2023
Big Blue is teaming with an even Bigger Blue to deliver AI solutions to clients. Today, IBM and Salesforce announced they are joining forces to bring Salesforce AI solutions (Sales GPT, Service GPT, Salesforce Einstein, Slack GPT and Marketing GPT) to customers who do business with both companies. Obviously, what Salesforce brings to the table is its popular and powerful customer relationship…
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AI & RoboticsNews

5 ways CISOs can prepare for generative AI’s security challenges and opportunities

September 1, 2023
With generative AI tools like ChatGPT proliferating across enterprises, CISOs have to strike a very difficult balance: Performance gains versus unknown risks. Gen AI is delivering greater precision to cybersecurity but also being weaponized into new attack tools such as FraudGPT that advertise their ease of use for the next generation of attackers. Solving the question of performance versus risk…
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AI & RoboticsNews

Niantic rolls out GenAI tools for 8th Wall developers

August 31, 2023
Niantic announced this week that it is introducing new generative AI developer tools to its 8th Wall platform. More specifically, it’s adding GenAI modules to 8th Wall that make it easier for developers to streamline their processes. Devs can use these tools to incorporate…
AI & RoboticsNews

Confirm raises $6.2 million to bring generative AI and network analysis to performance reviews

August 31, 2023
Does anybody like hearing the phrase, “It’s performance review season, again”? In most organizations where this author has ever worked (and he has worked at many), neither managers nor employees particularly relished the process of giving and receiving performance reviews. Still, many companies insist on them as a way of evaluating their talent and ensuring that high performers are rewarded…
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AI & RoboticsNews

Arize AI wants to improve enterprise LLMs with ‘Prompt Playground,’ new data analysis tools

August 31, 2023
We all know enterprises are racing at varying speeds to analyze and reap the benefits of generative AI — ideally in a smart, secure and cost-effective way. Survey after survey over the last year has shown this to be true. But once an organization identifies a large language model (LLM) or several that it wishes to use, the hard work is far from over. In fact, deploying the LLM in a way that…
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