CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

CIO

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. However, the analytics/reporting function needs to drive the organization of the reports and self-service analytics.

Data 167

Data Technical Review Software Review Weak Development Team 167

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist skills. Data scientist education and training.

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CTOvision

FEBRUARY 17, 2020

Read Brandon Vigliarolo explains why there is a vast data skill gap in big data technology on the Tech Republic : A study from Accenture and data analytics firm Qlik has discovered a massive problem in the big data world: A skills gap that is costing companies billions of dollars.

Big Data 126

Big Data Training Data Study 126

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

CTOvision

JUNE 3, 2015

There’s a closer relationship between big data and the IoT than most people realize – almost as if they were made for one another. Today, we’re going to talk about the Internet of Things and Big Data. How IoT Will Drive Big Data Adoption. See for yourself. . Bear with me here.

Big Data 123

Big Data Internet Technical Review Data 123

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 88

Data Authentication Compliance Artificial Inteligence 88

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

CIO

APRIL 22, 2022

Data science gives the data collected by an organization a purpose. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. The benefits of data science. Data science jobs.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 107

Big Data Technology Tools Cloud 107

TechCrunch

OCTOBER 18, 2021

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.

Enterprise 340

Enterprise Data Blockchain Healthcare 340

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data 188

Data Big Data Systems Review Technical Review 188

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

CIO

MARCH 15, 2024

There is no doubt that Dr. Plumb’s technical expertise and strategic acumen will enhance the CDAO’s innovative efforts, and help accelerate the DOD’s adoption of data, analytics, and AI to generate decision advantage from the boardroom to the battlefield,” Secretary of Defense Lloyd Austin said in a statement.

Artificial Inteligence 187

Artificial Inteligence Artificial Intelligence Big Data Analytics 187

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

CTOvision

SEPTEMBER 21, 2016

Many businesses can now use video analytics to get a more detailed look on who is entering their property and what they do there. As impressive as video analytics has proven to be, technological progress is set to help push it forward in exciting ways. It also allows them to take in more details from their videos.

Video 118

Video Analytics Sport Big Data 118

Cloudera

APRIL 6, 2022

Although researchers can recruit “citizen scientists” to help look at images through crowdsourcing ventures such as Zooniverse , astronomy is turning to artificial intelligence (AI) to find the right data as quickly as possible. Streaming analytics beyond Earth. This e-learning allows lots of folks to assist with the AI.

Big Data 103

Big Data Artificial Inteligence Data Machine Learning 103

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 96

Analytics Network Innovation Open Source 96

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. For free, hands-on training there’s no better place to start than with Google Cloud Platform itself. .

Google Cloud 97

Google Cloud Training Resources Cloud 97

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop.

LAN 215

LAN How To Systems Administration Software Engineering 215

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. Data science and data tools. Programming.

Course 94

Course Training Artificial Inteligence Software Review 94

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. Watson had previously worked at AWS (fun fact: we scooped when Amazon acquired his previous startup, harvest.ai), and he says that to date Gretel.ai

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

TechCrunch

SEPTEMBER 7, 2021

It’s in too many places, and there is just too much of it, and it’s growing every day (and changing every day), which means that traditional approaches of porting data to a centralized location to run analytics on it just wouldn’t be efficient, and would cost a fortune to execute. That is where Segera comes in.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

AWS Machine Learning - AI

APRIL 9, 2025

Your data is not used for training purposes, and the answers provided by Amazon Q Business are based solely on the data users have access to. This integration can empower administrators to make data-driven decisions for optimizing their Amazon Q Business implementations and maximizing return on investment (ROI).

Weak Development Team 92

Weak Development Team Metrics AWS Systems Review 92

CIO

JUNE 13, 2024

They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis. The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. billion this year, and would see 19.3%

Data 148

Data Analytics Transportation Business Intelligence 148

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

TechCrunch

APRIL 24, 2022

Soon, the plan will be to incorporate more quality control tools, supply chain finance, personalization for buyers and sellers to connect more likely trades; and further down the line, the startup will also bring more business intelligence and analytics into the mix for its customers.

Retail 242

Retail Business Intelligence Analytics Industry 242

CIO

MAY 16, 2024

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. Baldor Specialty Foods is turning to IT to take its business to the next level. poached its first CIO.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

Altexsoft

OCTOBER 3, 2019

potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. . What is people and HR analytics?

Analytics 16

Analytics Company Off-The-Shelf How To 16

AWS Machine Learning - AI

NOVEMBER 12, 2024

What would the LLM’s response or data analysis be when the user’s questions in industry specific natural language get more complex? To answer questions that require more complex analysis of the data with industry-specific context the model would need more information than relying solely on its pre-trained knowledge.

Generative AI 120

Generative AI Artificial Inteligence Industry Analysis 120

O'Reilly Media - Data

APRIL 17, 2018

A failed analytics startup post-mortem. In January 2015, I set out to build an external representation of a market every bit as rich as those in the minds of leading executives driving successful companies; I founded an analytics startup called Relato —a startup that, unfortunately, did not succeed. Screenshot by Russell Jurney.

B2B 194

B2B Artificial Inteligence Analytics Big Data 194

CIO

OCTOBER 13, 2023

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

Company 215

Company Generative AI Machine Learning Artificial Inteligence 215

AWS Machine Learning - AI

MARCH 18, 2025

This comprehensive dataset provides a holistic view of the adverse events reported across multiple data sources. LLM analysis The integrated dataset is fed into an LLM specifically trained on medical and clinical trial data. Her work has been focused on in the areas of business intelligence, analytics, and AI/ML.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

CIO

SEPTEMBER 18, 2023

When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.

Technical Review 204

Technical Review Pharmaceuticals Security Training 204