Analytics Vidhya

SEPTEMBER 6, 2020

Introduction Can you imagine navigating through a city without Google Maps? It feels like an alien concept! We have no sense of direction and. The post Starting your First Data Science Project? Here are 10 Things You Must Absolutely Know appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics IT Machine Learning 400

Smart Data Collective

SEPTEMBER 6, 2020

Big data tools are incredibly important for the survival of modern businesses. The best companies tend to invest in the highest quality big data technology to gain a competitive advantage in their market. However, the quality of the data-driven tools that they utilize plays a huge part in establishing their competitive advantages. They need to do their due diligence and find ways to make the most of the big data technology at their disposal.

Data-driven 97

Data-driven Big Data Software Technology 97

Octopai

SEPTEMBER 6, 2020

Although we may sometimes take it for granted, machine learning is all around us. Some of our most important modern technologies, such as personal assistants like Siri, or the algorithm Google uses to refine its search engine, wouldn’t be able to operate without it. Machine learning also plays a role in automated enterprise metadata management. It has influenced companies to make vital improvements that have bettered their overall output.

Metadata 56

Metadata Machine Learning Enterprise Management 56

Smart Data Collective

SEPTEMBER 6, 2020

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? Experts forecast that ecommerce providers will spend $6.2 billion on big data by 2025. This is a 150% increase over a seven-year period.

B2B 108

B2B Data Analytics Analytics Cost-Benefit 108

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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