The Role of AI in Digital Marketing
KDnuggets
JULY 17, 2024
Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.
KDnuggets
JULY 17, 2024
Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.
databricks
JULY 17, 2024
Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.
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KDnuggets
JULY 17, 2024
Explore Python's mock library for seamless testing—replace real objects with mocks, perfect for isolating and verifying your code's behavior.
Snowflake
JULY 17, 2024
A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner® Hype Cycle for Artificial IntelligenceI, 2023 1.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Towards Data Science
JULY 17, 2024
New data flavors require new ways of storing them.
WeCloudData
JULY 17, 2024
Discover how machine learning revolutionizes real estate price prediction, overcoming biases and empowering data-driven decisions. Harness AI for accurate market analysis and secure your dream home investment. The post Real Estate Price Prediction: Harnessing Machine Learning appeared first on WeCloudData.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
WeCloudData
JULY 17, 2024
Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. Every enterprise is transforming in the direction of digitalization. For enterprises, data is full of infinite value. For all the data requirements of organizations, the first thing they need to do is to […] The post How to Become a Data Engineer (2024 Guide) appeared first on WeCloudData.
Hevo
JULY 17, 2024
Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture.
DareData
JULY 17, 2024
In Geospatial Data Analysis, the primary objective is to pose the right questions, leveraging geographic principles to gain insightful answers. Analysts will visualise and decipher patterns through maps while trying to answer those questions. When exploring Geospatial questions, it is also essential to consider temporal aspects. Changes in spatial information over time can reveal a lot of relevant information.
Edureka
JULY 17, 2024
Table of Contents: What is an ethical issue in information technology? What are the Ethical Issues of Information Systems? Conclusion FAQs What is an ethical issue in information technology? Ethical issues in information technology represent an area of concern that addresses questions and concerns regarding the moral use or application of IT. These points emerge when innovation disrupts virtues in the community and liberty of individuals in a particular society.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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