CTOvision

JUNE 17, 2014

Except for two groups: Machine Learning and SAS & Analytics Users (not shown in Figure 1) which had big growth in 1 or 2 quarters and none in 2 other quarters, most groups show surprisingly similar pattern of decline in growth in 13Q3, followed by acceleration in 14Q1 and 14Q2. . Big Data and Analytics: 74,350 (100%).

Big Data 103

Big Data Analytics Groups Data 103

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities. In this blog you may find key findings and explanations.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Sunflower Lab

APRIL 2, 2024

Enhancing Customer Experience: Understanding their customer’s expectations and conducting predictive analytics provides CEOs with customer data to research so that they can personalize marketing and improve customer service. The customers may be happy with these services and would love to do business with you.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 6, 2018

Customer-facing applications powered by machine learning algorithms solve your customers’ problems. Business analytics: business intelligence and statistical analytics. Business analytics (BA) is the exploration of data through statistical and operations analysis. Client analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

Education 99

Education Analytics Recruiting Programming 99

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. Seamless integration with external machine learning systems. A wide range of data visualization solutions.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. Pentaho is building the future of business analytics. We list our methodologies at the end of the list. The result?

Technical Review 99

Technical Review Analytics Technology Big Data 99

O'Reilly Media - Ideas

NOVEMBER 16, 2021

In the past decade, the growth in low-code and no-code solutions—promising that anyone can create simple computer programs using templates—has become a multi-billion dollar industry that touches everything from data and business analytics to application building and automation. Forms and Templates.

Programming 143

Programming Weak Development Team Software Development Artificial Inteligence 143

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Data engineering comes into its own.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8