Product Talk
JUNE 19, 2024
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. I’m a big fan of generative AI. I’ll then share how and where I think generative AI can help, and clearly identify what we should avoid. Everything we do in discovery is in service of that.
The Product Coalition
FEBRUARY 15, 2024
However, a new era of possibilities has dawned with the emergence of Generative AI (GenAI). Imagine a tool that not only automates tasks but also learns, adapts, and innovates — genAI development company, a technology that is already capturing significant attention. How can generative AI transform your business operations?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
TechEmpower - Product Management
MARCH 4, 2024
Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.
Mixpanel
JULY 6, 2023
For so long, using the apps and services we need to be productive has required technical formulas or exhausting interfaces. Generative AI is unframing all of that. You can now click a button to get AI to write and organize it for you. Introducing Spark A report generated by Spark. But that’s not our goal.
Advertisement
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Userpilot
FEBRUARY 28, 2024
But with so many tools in the market, which one should you choose for product analytics ? Unlike sales funnel software, funnel-tracking tools track numerous funnels such as goal completion, conversion , and review funnels. When selecting a funnel tool, look for customization, integrations, segmentations , and dashboard options.
The Product Coalition
JULY 8, 2023
Product leader Anna Russo explains what’s important when making data-driven decisions with Generative AI. Within these debates the prevailing narratives are that we need to fully embrace generative AI in order to radically increase our productivity. And don’t get me wrong, some of them are useful.
Advertisement
In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
Advertisement
In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities. But with Logi Symphony, these challenges become opportunities.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
Advertisement
The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. Together, we can overcome these hurdles and empower your users with the data they need to drive success.
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Expert insights. Personalized for you.
283 
Let's personalize your content