CIO

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Data 197

Data Artificial Inteligence Artificial Intelligence Architecture 197

CTOvision

JANUARY 28, 2015

You''ll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. If you want to tap into the opportunity that big data presents, you want to be there. Find new ways to leverage your data assets across industries and disciplines.

Big Data 109

Big Data Case Study Conference Study 109

CTOvision

MARCH 5, 2014

The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling. Chapter 21: Big Data Analytics. It provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies. For more see: [link].

Data 107

Data Big Data Case Study Analysis 107

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Temporal data and time-series. Automation in data science and big data. Graph technologies and analytics.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

Hacker Earth Developers Blog

DECEMBER 12, 2024

AI-Powered Analytics One benefit of employing these AI tools is that they can sift through big data to determine which candidates will likely perform well. Case Study 2: Spotifys Global Expansion Challenge: As Spotify started exploring newer markets, the company required someone with experience.

Recruiting 130

Recruiting Case Study Leadership Trends 130

Altexsoft

AUGUST 31, 2020

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics.

Healthcare 72

Healthcare Analytics Examples Data 72

OTS Solutions

AUGUST 16, 2023

They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. Predictive Analytics for personalized recommendations Predictive analytics has revolutionized the way businesses make recommendations to their customers.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. Predictive Analytics for personalized recommendations Predictive analytics has revolutionized the way businesses make recommendations to their customers.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CTOvision

OCTOBER 2, 2013

If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there. The future belongs to those who understand how to collect and use their data successfully. Find new ways to leverage your data assets across industries and disciplines. See more Kudos.

Big Data 73

Big Data Conference CTO Coach Media 73

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Cloudera

SEPTEMBER 1, 2021

Through more targeted use of its data and AI, the company now finds network problems before customers even notice them and detects fraud patterns and threats in real time before they can affect the business. Here’s the Deutsche Telekom case study if you want to learn more. Common characteristics of data-driven companies.

Company 101

Company Data Analytics Enterprise 101

Kentik

NOVEMBER 21, 2016

As for intelligence, traditional DDoS detection appliances summarize the raw traffic data and then discard the details, so they are literally incapable of providing deep analytics. And analytics are precisely what you need to understand the full implications of changing conditions, vectors, and traffic trends.

Big Data 40

Big Data Data B2C Storage 40

Datavail

DECEMBER 8, 2020

As businesses grow hungrier for big data and analytics, the mainframe continues to be relevant. New case study details how Datavail helped a communications organization migrate its DB2 mainframe to an open system in two weeks during the peak holiday season. DB2 Mainframe Migration to Open System.

Systems Review 145

Systems Review System Database Administration Technical Review 145

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service. Types of Data Analytics.

Analytics 52

Analytics Data How To Machine Learning 52

N2Growth Blog

DECEMBER 8, 2023

One of the key ways technology enhances the executive search process is through data analysis. By leveraging big data and analytics, recruiters can gain insights into the skills, experiences, and competencies most sought after in the legal industry.

Recruiting 155

Recruiting Artificial Inteligence Culture Trends 155

Altexsoft

SEPTEMBER 6, 2018

Data science and artificial intelligence are hot media topics. An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Business analytics can be used for: Data management.

Company 63

Company Off-The-Shelf Data Software Review 63

Apiumhub

MAY 6, 2021

World Data Summit 17 – 18 May 2021. Join this entirely Virtual World Data Summit in order to explore the latest developments, innovations and best practices within a Data & Analytics industry. Big Data Conference Europe 2021 28-30 September, 2021. We hope to see you there! We are here to help.

Technical Review 69

Technical Review Trends Technology Software Review 69

CTOvision

MARCH 24, 2017

We’re looking for compelling case studies, technical sessions, tear-downs of both successful and failed AI projects, technical and organizational best practices, and more. Strata Data Conference is the leading event for data scientists, analysts, and executives to get up to speed on emerging techniques and technologies.

Conference 71

Conference Case Study Systems Administration Artificial Intelligence 71

CTOvision

JANUARY 6, 2017

You'll find Business Case Studies and Data-driven Business Management. Sessions on essential topics like Data Science & Advanced Analytics, Enterprise Adoption, Real-time Applications, Spark (& Beyond), and Stream Processing & Analytics—nearly 180 sessions to choose from.

Case Study 61

Case Study Analytics Study Programming 61

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 72

Course Training Artificial Inteligence Software Review 72

OTS Solutions

DECEMBER 22, 2023

Make better decisions: Companies can benefit from big data by putting analytics and data at the core of their digital transformation if the business does not. With the right mix of analytical tools, this data may be translated into crucial business insights, enabling you to make choices more quickly and more effectively.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Perficient

OCTOBER 30, 2023

Perficient’s award-winning AI practice specializes in analytics, big data, unstructured content management, enterprise search, digital experience, and business optimization to deliver solutions that help businesses turn their information into strategic assets.

Healthcare 115

Healthcare Machine Learning Artificial Inteligence Generative AI 115

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Data Innovation Summit speakers dive directly into the topic and focus on the key learning points. Save the dates: 5th & 6th May, 2022. .

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. There was also a real risk of a HIPAA data incident occurring due to limited controls around PHI and PII data, given the data sprawl mentioned.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Copyright © 2021 Accenture. All rights reserved.

Data 82

Data Analytics Cloud Technical Review 82

Dion Hinchcliffe's Web 2.0 Blog

OCTOBER 14, 2014

The biggest announcement so far, out of many, has been Salesforce’s entry into the analytics and big data space, with their new Wave product. Says to be sure to watch what’s going on with the marketing cloud, Internet of Connected Customers, analytics products (Wave I assume). ” Very simple, very fast.

Analytics 84

Analytics Mobile Video Fractional CTO 84

Cloudera

MAY 6, 2021

A prerequisite for those benefits is using a data platform that breaks down cloud, workload and data silos and is able to seamlessly move workloads between deployment environments in a frictionless manner, capabilities that CDP Public Cloud delivers out of the box. Considerations in multi-cloud implementations.

Cloud 92

Cloud Strategy Technical Review Systems Review 92

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. customer digital interactions annually, this was truly a ‘big data’ opportunity. Considering that they fill 900M prescriptions, and process over 1.2B

Retail 62

Retail Big Data Case Study Systems Review 62

Hacker Earth Developers Blog

APRIL 17, 2023

To overcome this challenge, IBM decided to launch a program called the Skills Initiative that aimed to train and retrain IBM employees in high-demand skills, such as cloud computing, data analytics, and cybersecurity. For example, the L&D team uses group activity learning format for employees who prefer learning one-to-one.

Technical Review 130

Technical Review Artificial Inteligence Training Programming 130

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 55

Course Training Artificial Inteligence Software Review 55

Mobilunity

MAY 3, 2024

Core Skills and Technical Expertise A data engineer Fintech should possess a strong foundation in both technical skills: Programming Languages: Proficiency in Python and Java is often essential, as these languages are commonly used by fintech back-end software developers for developing data processing and analytics applications.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

TIBCO - Connected Intelligence

DECEMBER 9, 2019

Analytics with data science has been one of the last enterprise systems to move to the cloud, but the situation has changed fundamentally in just the last year or two. . The cloud is quickly becoming everyone’s preferred way of doing machine learning and analytics. Proof it’s as easy as it sounds . It really is that easy.

Artificial Inteligence 5

Artificial Inteligence Machine Learning Analytics Cloud 5

Strategy Driven

JULY 5, 2024

However, the landscape is evolving rapidly with the advent of big data, artificial intelligence (AI), and machine learning (ML). Big Data in Family Offices Big data refers to the vast amount of structured and unstructured data that is generated daily.

Artificial Inteligence 33

Artificial Inteligence Data Artificial Intelligence Big Data 33

Kentik

MAY 23, 2017

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven. Faster root-cause correlation.

Network 40

Network Open Source Big Data Load Balancer 40