CIO

OCTOBER 1, 2022

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. This, in turn, improves cycle time, reduces network losses, and ensures quality, all while improving operator productivity.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

TechCrunch

DECEMBER 16, 2020

Hightouch , a SaaS service that helps businesses sync their customer data across sales and marketing tools, is coming out of stealth and announcing a $2.1 At its core, Hightouch, which participated in Y Combinator’s Summer 2019 batch, aims to solve the customer data integration problems that many businesses today face.

Data 251

Data B2C Analytics Big Data 251

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. The upside of recent tech layoffs is that there has been more cloud talent on the market this year. “We

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

InfoQ Culture Methods

JULY 17, 2020

Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. To be agile is to adapt to today's market. By Alejandro Ruiz.

Agile 132

Agile Innovation Culture Business Intelligence 132

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

SEPTEMBER 2, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles. Let innovators innovate.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles. Let innovators innovate.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

JANUARY 16, 2024

Our examiners are welcoming the help from AI tools to take away the clerical and administrative functions so they can focus more on thoughtful analytics that cannot be merely programmed.” While he acknowledged LLMs are not on par with human intelligence, Mayar sees the pace of innovation in generative AI as unparalleled.

Generative AI 326

Generative AI Technical Advisors Artificial Inteligence CTO Coach 326

CIO

JANUARY 10, 2023

Firms that want to innovate and grow while headcounts are in flux are looking to upskill talent from within , promote their firm’s strengths to prospective candidates, and broaden their pool of potential hires from nontraditional backgrounds. “The IT leaders say the best approach is to focus on adaptability.

Trends 328

Trends Recruiting Culture Quality Assurance 328

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

Data 89

Data Data Engineering Machine Learning Artificial Inteligence 89

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown.

CTO 88

CTO Scalability Architecture Analytics 88

CIO

JANUARY 17, 2023

Building and managing infrastructure yourself gives you more control — but the effort to keep it all under control can take resources away from innovation in other areas. Matt Doka, CTO of FiveStars, a marketing platform for small businesses, doesn’t like that trade-off and goes out of his way to outsource whatever he can.

Data Engineering 315

Data Engineering Engineering Data CTO Coach 315

Cloudera

DECEMBER 17, 2020

In 2020 alone, we released three entirely new services and product features designed to address significant lifecycle challenges and innovate ahead of the competition to tackle emerging problems associated with cutting-edge use cases such as building predictive applications and powering ML models at the edge. Laurence Goasduff, Gartner.

Machine Learning 80

Machine Learning Artificial Inteligence Data Engineering Engineering 80

Battery Ventures

OCTOBER 7, 2020

The research pinpointed some of the mega-trends—including cloud computing and the rise of open-source technology—that are upending today’s huge enterprise-IT market as organizations across industries push to digitize their operations by modernizing their technology stacks. What a difference a year makes.

Open Source 144

Open Source Cloud Google Cloud Azure 144

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Capgemini

MARCH 28, 2023

77% of AI and analytics projects struggle to gain adoption. Fewer than 10 percent of analytics and AI projects make an impact financially because 87 percent of these fail to make it into production. It’s how innovators like Amazon and Netflix were able to succeed so quickly and so often in their personalization programs.

Systems Review 52

Systems Review System Artificial Inteligence Technical Review 52

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Cloudera

NOVEMBER 16, 2022

A common theme that was highlighted continuously was using “storytelling” to relay the value that data and analytics teams bring to the business. This leads to a further challenge of the chief data and analytics officer’s role: Is the mission to play offense — drive revenue? Are you playing offense or defense?

Data 78

Data Insurance Metrics eBook 78

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

TIBCO - Connected Intelligence

OCTOBER 11, 2021

TIBCO Partner-to-Partner increases collaboration with all TIBCO partner types to better solve customer challenges by providing the customer with an innovative, fully-developed solution that can be seamlessly integrated. TIBCO Partner-to-Partner empowers TIBCO partners through three pillars: Identify, Co-Innovate, and Grow.

IoT 49

IoT Wireless Healthcare Technical Review 49

Capgemini

NOVEMBER 14, 2022

But this requires data accessibility for every worker. Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. And they also need to trust that the data is current, relevant, and available. Easy, right?

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples).

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

Altexsoft

JUNE 6, 2019

The use of ML-powered analytics solutions can help businesses forecast inventory demand with high accuracy. Systems that rely on machine learning are capable of analyzing a multitude of data points, finding subtle patterns (indicating changes in customer preferences, behavior, or satisfaction) which can be non-obvious for a human.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

TIBCO - Connected Intelligence

JANUARY 27, 2021

That’s what I like about data virtualization. By adding data virtualization to your data integration toolbox, everyone can win across your organization—from data consumers to data engineers. . We’ve already discussed why data virtualization needs to be a part of your data integration toolbox.

Virtualization 34

Virtualization Data Data Engineering Sport 34

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Machine Learning 83

Machine Learning Artificial Inteligence Culture Analysis 83

Cloudera

FEBRUARY 17, 2021

Embracing the hybrid cloud model – We delivered all the key tenets of CDF on Cloudera Data Platform (CDP) Data Hub as well – Flow Management for Data Hub, Streams Messaging for Data Hub, and Streaming Analytics for Data Hub. If you are interested, you can watch it on-demand as well.

Part-Time VPE 59

Part-Time VPE Analytics eBook Leadership 59

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. But with major growth, comes growing pains: more specifically, disparate data silos and disconnected, legacy systems. Projects are delivered faster and with better results.

Virtualization 32

Virtualization Data Insurance Software Review 32

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. Learn how to take big data from science project to real business application. Discover training, hiring, and career opportunities for data professionals.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

CTOvision

JANUARY 28, 2015

Learn how to take big data from science project to real business application. Discover training, hiring, and career opportunities for data professionals. Meet-face-to face with other innovators and thought leaders. Data scientists. Data engineers. Data-driven designers, journalists, and anthropologists.

Big Data 109

Big Data Case Study Conference Study 109

Existek

JANUARY 11, 2022

It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Azure vs AWS market share. AZURE VS AWS MARKET SHARE. It might be challenging as it requires a detailed analysis of the business-specific needs and a deeper understanding of the overall market situation. .

Azure 52

Azure AWS Cloud How To 52

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

TIBCO - Connected Intelligence

OCTOBER 15, 2020

One of the best aspects of working in technology is getting a front-row seat to continuous innovation. That’s part of why I was excited to attend the “What’s New and What’s Next for TIBCO® Data Virtualization ” session at our recent TIBCO NOW event. . When it comes to product innovation, I like to get our partners’ perspectives.

Virtualization 50

Virtualization Data Energy Innovation 50

Altexsoft

NOVEMBER 9, 2021

When you go to the local farmer’s market to buy fresh produce from a seller you have known for years or try on a trendy outfit after having an ice cream in your favorite mall, well, it’s a simple way to enjoy life. What is procurement analytics and the opportunities it offers? Main components of procurement analytics.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Kentik

JULY 19, 2017

As one of the largest companies in Asia, our KDDI direct relationship, and our relationship with Net One Systems , one of Japan’s largest systems integrators, mark our entry into the Japanese local market. Why KDDI Selected Kentik. Already know that you want to get a deeper look?

Network 40

Network .Net Data Center Big Data 40

CIO

NOVEMBER 29, 2022

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. Data and cloud strategy must align.

Organization 278

Organization Technical Review Data Artificial Inteligence 278

Kentik

MAY 23, 2017

Imagine a big data time-series datastore that unifies traffic flow records (NetFlow, sFlow, IPFIX) with related data such as BGP routing, GeoIP, network performance, and DNS logs, that retains unsummarized data for months, and that has the compute and storage power to answer ad hoc queries across billions of data points in a couple of seconds.

Network 40

Network Open Source Big Data Load Balancer 40