Data is the lifeblood of organizations. But understanding data and using it to drive meaningful insights can be a real challenge. Many data scientists spend a lot of time wrangling data instead of focusing on what matters — creating models that deliver real value for their business. In many ways, the promise of machine learning
Welcome to 2023! When I was a kid, I imagined what life would be like in the 21st century. Surely I would enjoy flying cars, space tourism, and a robot sibling who wouldn’t steal my Legos. I never imagined smartphones, wireless internet (or internet at all), or chatbots. But here we are. With the new
Artificial Intelligence enables machines to learn from experiences, which gives them more power and the ability to perform tasks that previously required humans. AI-Driven technologies like self-driving cars and social media monitoring are dependent on deep learning, natural language processing, and machine learning. Using these technologies, computers are trained on large amounts of data to
Predictive Analytics has the power to revolutionize almost any industry. It’s especially useful for financial institutions like banks and fintech firms because they help gain access to the subconscious behavior of customers. This includes their spending and saving habits, social habits, and more. We can use this data to personalize service for customers and customize
Over the past few years, A.I. and machine learning have disrupted the entire landscape of how we consume products and services as customers. This trend continues as more companies are starting to realize the benefits of incorporating big data and machine learning into their business models and as a part of the services they offer.
The year 2020 was the start of, what many in the industry are calling, the “Decade of Data”. If you haven’t heard this phrase before, perhaps you have heard the saying on the street “data is the new oil” or “data is the new soil”. To no surprise, the amount of data being generated just
For the first time in over two years, the Tableau #datafam was back together in person for Tableau Conference 2022 (aka TC22). The annual conference, traditionally held in the fall, shifted to spring for 2022. Here are my five biggest takeaways from the week in Las Vegas. Get Ready for more Tableau Cloud (formerly Tableau
Author: Jason Halpern, Christopher R. Barbour, Ph.D. AWS re:Invent returned to Las Vegas in person for its annual conference this past year. In addition to the return of large crowds, long-distance power walks and social encounters in the Vegas nightlife, it also brought announcements and discussions on both service announcements and use-cases being solved
If you’re like me, it feels weird to say that it’s 2022. I’m still slipping up and saying 2021 on occasion; who doesn’t? At some point, AI systems that mimic human behavior will need to start doing this as well if they want to sell the act! The chatbots of today have been known to
In this blog, we are going to discuss Airflow for machine learning and how it can make the life of a machine-learning engineer easy when executing interdependent tasks. In a machine-learning project, we have various tasks, from data extraction to model deployment, and they can be executed by creating Apache Airflow workflows that implement machine-learning