Perficient

OCTOBER 30, 2023

If AI can be simply put, it’s a manner of processing massive amounts of data in real-time to drive intelligent decisions. It can learn from interactions to improve performance and efficiency. Perhaps you’ve worked with your IT partners on projects that involve machine learning. Let’s assume we do for these use cases.

Healthcare 115

Healthcare Machine Learning Artificial Inteligence Generative AI 115

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

N2Growth Blog

DECEMBER 8, 2023

With the advent of advanced algorithms and machine learning capabilities, recruiters now have access to a vast pool of talent that was previously untapped. One of the key ways technology enhances the executive search process is through data analysis.

Recruiting 152

Recruiting Artificial Inteligence Culture Trends 152

Sunflower Lab

JUNE 8, 2023

From integrating with IoT and Big Analytics for better treatment plan optimization to chatbots for customer support, versatility is a part of artificial intelligence. From this analysis behavior patterns and preferences can be generated and machine learning models can be further streamlined.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Generative AI Machine Learning 52

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

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. React Advanced 20 – 22 October, 2021.

Technical Review 69

Technical Review Trends Technology Software Review 69

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Cloudera

SEPTEMBER 1, 2021

They turned to Cloudera Data Platform to improve not only fraud detection but also customer relationship management, network quality, and operational efficiency through machine learning and AI. . Here’s the Deutsche Telekom case study if you want to learn more. Data quality is extremely important.

Company 96

Company Data Analytics Enterprise 96

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 69

Course Training Artificial Inteligence Software Review 69

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. Customer-facing apps and fraud detection.

Company 63

Company Off-The-Shelf Data Software Review 63

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 51

Course Training Artificial Inteligence Software Review 51

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. How a leading global drug store improved precision and timeliness.

Retail 61

Retail Big Data Case Study Systems Review 61

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 eLearning 130

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 80

Data Analytics Cloud Technical Review 80

Openxcell

NOVEMBER 27, 2023

Some of the up-and-coming trends are : Artificial Intelligence (AI) & Machine Learning (ML) Big data, virtual reality, artificial intelligence, machine learning, and chatbots for pharmaceutical firms are no longer futuristic concepts but rather an integral part of our reality.

Development 52

Development Healthcare Artificial Inteligence VR 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. What to use—when and how . It really is that easy.

Artificial Inteligence 5

Artificial Inteligence Machine Learning Analytics Cloud 5

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 CTO Coach Conference Media 73

Protera

JUNE 21, 2022

Faster Data Processing. With big data at the core of how enterprises operate today, SAP S/4HANA’s data processing bandwidth and speed is a key upgrade from that of legacy SAP ERP systems. Real-time Analytics. Read the full case study here. Performance Efficiency.

Systems Review 52

Systems Review Cloud Enterprise Azure 52

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? Check out the full case study here.

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. Process analytics takes place.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Trading teams wanted to collaborate, but data was scattered.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

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 Artificial Inteligence Case Study 52

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

UruIT

DECEMBER 31, 2018

Perhaps the best part of DevExec World are the intimate Case Study Sessions in which attendees can connect with their peers to discuss the specific challenges of managing technical teams. If you want to learn about AI and machine learning, check out one of the QCon.ai The talks and workshops at QCon.ai

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

Getronics

MAY 24, 2019

Rapid transformation is well underway in big data and analytics, machine learning, and clinical genomics and HPC. Organizations are expanding their capabilities to analyze data that exist across disparate systems. Precision Medicine. A critical place for additional focus is the cloud.

Healthcare 40

Healthcare Technology Firewall Malware 40

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

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.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7.

Big Data 52

Big Data Analytics Data Analysis 52

Mobilunity

APRIL 23, 2024

Leveraging AI and Machine Learning Using AI and machine learning in predictive analytics can make financial services decision-making a lot better. Mobilunity’s Case Study Client’s Requirement Mobilunity was approached by a prominent German banking institution aiming to overhaul its digital services.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Altexsoft

NOVEMBER 15, 2018

In our whitepaper on fraud detection , we compared machine learning-based systems with rule-based ones and described how ML-based solutions help prevent and identify fraudulent activity across several industries. Many of these systems use both rules (that users can edit) and machine learning techniques to achieve higher efficiency.

Software Review 64

Software Review Software Systems Review Technical Review 64