New Year, Who Dis
We’re diving into trending tech with a crash course on “Agentic AI,” celebrating the evolution of college sports, and sharing our own new year’s resolution
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We’re diving into trending tech with a crash course on “Agentic AI,” celebrating the evolution of college sports, and sharing our own new year’s resolution
To sum it up briefly: agentic AI systems are trained on specialized data sets, and capable of independently solving multistep problems in service of a particular goal.
The NCAA isn’t done evolving – it’s expected that there will be even more shifts in compensation models, and that NIL laws will continue to broaden. This means there are a lot of new opportunities for brands and other companies to find entry into college sports.
When the Yankees Entertainment Network wanted to launch a new DTC offer, they turned to Pickaxe to help.
Long before BritBox was streaming much loved shows to audiences around the world, they were looking for an experienced team to help them take the idea from concept to launch.
Nexstar needed a better way to understand user behavior, ad anomalies, and advertising performance across the hundreds of federated stations and websites that they operate from a mix of technology platforms built by them, or that they had acquired from multiple legacy parent companies over the years. The result was inconsistent and disparate reporting.
Nobody likes their tools. We’ve heard complaints about CRM platforms, analytics tools, project management tools, billing systems – anything that people have to use on a regular basis.
Snowpark is an exciting feature for Snowflake that greatly broadens what ML engineers can do, and gives data scientists the ability to leverage the tools they already use and love, like Pandas, NumPy, and more, directly accessing data in Snowflake.
When you’re trying to measure your information against competitor data, forecasts, and budgets, accurate benchmarks are crucial for making informed and effective choices.
We ran the NBA Finals through our insights engine to see if it could tell us what we missed.
Turns out it thinks defensive really does win championships.
Careful analysis of usage patterns can help streamers differentiate between “legitimate” household usage and rampant “egregious” password sharing.
Are we getting 2 inches of snow? or 20? The forecast model’s don’t agree on that point, and that disagreement is exactly why we’re such a fan of using an ensemble model learning approach (and a team A vs B approach).
Our insights engine uses machine learning and data analysis to monitor your metrics and alert you when there’s good news or bad news.
The Facebook outage impacted far more than just access to user’s feeds. It also impacted every single advertiser’s acquisition campaigns. Find out what you should do to minimize the impact on your campaigns.
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