CIO

FEBRUARY 15, 2024

Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. What we’re doing is finding the guys who like to crack big industry problems with technology.”

Artificial Inteligence 336

Artificial Inteligence B2C Machine Learning Artificial Intelligence 336

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

TechCrunch

NOVEMBER 18, 2021

Ashish Kakran , principal at Thomvest Ventures , is a product manager/engineer turned investor who enjoys supporting founders with a balance of technical know-how, customer insights, empathy with challenges and market knowledge. In the early 2000s, most business-critical software was hosted on privately run data centers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

TechCrunch

MAY 10, 2022

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 276

Strategy Technical Review Data Software Review 276

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion.

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

CIO

SEPTEMBER 2, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

FEBRUARY 13, 2023

The economy may be looking uncertain, but technology continues to drive the business and CIOs are investing big in 2023. At the same time, they are defunding technologies that no longer contribute to business strategy or growth. This technology will help our customers get started quicker and will also allow us to reach more people.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

DECEMBER 11, 2023

You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements. And yet, generative AI is a transformative technology—one that cannot be ignored. Capture patient documentation with a digital scribe.

Generative AI 189

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

Mobilunity

AUGUST 3, 2021

While Big Data has come far, its use is still growing and being explored. Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JULY 18, 2023

As technology continues to advance at a rapid pace, the demand for qualified individuals has soared,” Chan says. 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.

Technical Advisors 235

Technical Advisors Artificial Inteligence Generative AI How To 235

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

TechCrunch

AUGUST 17, 2021

Less than a year after its $3 million seed round, San Francisco- and Africa-based fintech Pngme has snapped up another $15 million for its financial data infrastructure play. The company is also describing itself as a machine learning-as-a-service platform.

Fintech 267

Fintech Infrastructure Data Machine Learning 267

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics methods and techniques.

Analytics 331

Analytics Data Analysis Business Analytics 331

CIO

DECEMBER 16, 2022

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. On average, though, bonuses for non-certified skills were bigger and faster-growing than those for certifications.

Technical Review 230

Technical Review Analytics AWS SCRUM 230

CIO

AUGUST 7, 2023

And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%. CIOs and CTOs have a crucial role in avoiding those pitfalls when it comes to gen AI.

Generative AI 225

Generative AI Off-The-Shelf Architecture Infrastructure 225

CIO

OCTOBER 1, 2022

P&G is also piloting the use of IIoT, advanced algorithms, machine learning (ML), and predictive analytics to improve manufacturing efficiencies in the production of paper towels. P&G balances the organization between central teams and teams embedded in its categories and markets.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

CIO

JANUARY 10, 2023

Cold: Poaching high performers Market uncertainties have made recruiting more difficult in surprising ways, says Dru Kirk, vice president of talent acquisition for Marqeta. Companies who are preparing for market insecurities are simultaneously working really hard to retain their top talent. years,” Bechtel says.

Trends 322

Trends Recruiting Culture Quality Assurance 322

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. Deep Learning.

Big Data 87

Big Data Technology Tools Cloud 87

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. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

OpenCredo

JULY 31, 2018

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. The Role of Data. The reason for this is the central role that data plays in machine learning.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40

O'Reilly Media - Ideas

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Ethical OS also provides excellent tools for thinking through the impact of technologies.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. billion in revenue.

Analytics 329

Analytics KPI IoT Azure 329

TechCrunch

NOVEMBER 28, 2022

Radical Ventures and Temasek are co-leading this round, w1ith Air Street Capital, Amadeus Capital Partners and Partech (three previous backers ) also participating, along with a number of individuals prominent in the world of machine learning and AI. “This is where V7’s AI Data Engine shines.

Training 240

Training Data Technical Review Artificial Inteligence 240

The Accidental Successful CIO

JANUARY 25, 2023

The growing adoption of these products follows a classic pattern in the tech evolution, where technology turns every employee into a programmer. Thanks to their easy-to-use interfaces, programs for these AI templates which are known as automated machine learning, or automated ML are even being used by data scientists themselves.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. AI is by far the technology that can drive innovation forward, and you should keep up. Azure Machine Learning lets you accelerate and manage ML-based projects.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. That’s where data comes in. Lastly, we examine retail companies, the energy marketers. Towards a better customer experience.

Energy 79

Energy Analytics Data Machine Learning 79

Cloudera

JANUARY 19, 2022

Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security and governance. . We were named a Visionary having a strong market understanding and a robust roadmap for the cloud DBMS market.

Report 87

Report Technical Advisors Cloud Analytics 87

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics.

Engineering 52

Engineering Data Storage AWS 52

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

MAY 27, 2021

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Big data and AI amplify the problem. “If It’s not the machine’s fault.

Artificial Inteligence 115

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 115

Altexsoft

JUNE 14, 2021

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Or your data quality may be low to reach project feasibility.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40