Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. Die AI lernt permanent mit, Unternehmenswissen geht nicht verloren. Und warum spielt sie für AI eine so große Rolle?

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Smart Data Collective

MARCH 5, 2022

Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. You will have a much easier time creating a successful dropshipping business if you are proficient with big data.

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Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies.

Analytics 107

Analytics Analytics Big Data Big Data 107

ODSC - Open Data Science

AUGUST 21, 2023

Introducing the Topic Tracks for ODSC West 2023 — Highlighting Gen AI and LLMs As we progress towards the end of the year, we’re turning our full attention to ODSC West coming to the heart of the AI boom (in-person) or your computer (virtual) from October 30th — November 2nd.

Data Science 52

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Smart Data Collective

FEBRUARY 4, 2021

Big data is changing the future of video marketing forever. YouTube was launched in 2005, when big data was just a blip on the horizon. However, data analytics and AI have made video technology more versatile than ever. Clever video marketers know how to use AI and big data to their full advantage.

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Big Data Big Data Data Mining Data Mining 84

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

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Machine Learning Machine Learning Data Science Big Data 59

Dataconomy

JUNE 13, 2023

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

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Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

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Big Data Big Data Data Mining Data Mining 135

Heartbeat

OCTOBER 23, 2023

These professionals apply their expertise to analyze large and complex healthcare datasets, extract meaningful insights, build predictive models, and create innovative solutions that drive evidence-based decision-making and enhance patient outcomes. Another notable application is predictive analytics in healthcare.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. Fine-tuning is quite easy.

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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

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IBM Journey to AI blog

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. ITOA turns operational data into real-time insights.

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Analytics Analytics Predictive Analytics Big Data 59

Data Science Blog

FEBRUARY 4, 2023

In the era of Industry 4.0 , linking data from MES (Manufacturing Execution System) with that from ERP, CRM and PLM systems plays an important role in creating integrated monitoring and control of business processes.

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Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization.

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Data Science Azure Power BI Business Intelligence 246