CIO

JULY 17, 2024

Technology touches every part of a transformation, regardless of whether it’s business-led or technology-led, and Deloitte research suggests that 59% of digital leaders believe today’s CIOs should enable transformation and innovation. We’ve got amazing data scientists at the club,” he says. “I

Technology 330

Technology Innovation Leadership Analytics 330

Capgemini

NOVEMBER 14, 2022

The role of self-service BI for business agility Myles Suer 9 Nov 2022. Facebook Twitter Linkedin The move to self-service BI is driven by an organization’s need for agility in support of a hybrid workforce. But this requires data accessibility for every worker. But how to get there, and become a self-service data master?

Agile 52

Agile Technical Review Systems Review Culture 52

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 94

Data Data Engineering Machine Learning Artificial Inteligence 94

CIO

JUNE 19, 2024

In the new organization, the platform engineering teams work hand-in-hand with four agile-organized software development teams. If you do the former, you have bigger agility and flexibility in application development, but maybe a multiplication of platforms. This was the debate we had three years ago,” Menekli says. “If

Weak Development Team 347

Weak Development Team Engineering UI/UX Software Development 347

CIO

AUGUST 2, 2023

At the business concept layer, finance leadership engages in a cadence of discussions with IT and data engineering leadership to discuss the process change necessary to create enterprise self-service revenue reporting. At the consumable layer, we decide how people will consume the revenue data. It’s given us agility.

Data 246

Data Architecture Government Strategy 246

Trigent

AUGUST 26, 2022

Expert assistance and agile technology solutions make your work easier. Trigent Software is one of those fantastic IT service providers that enable organizations to adopt customer engagement models and advanced digital processes to achieve outstanding end-user experience and results.

Software Review 52

Software Review Software Technical Review Artificial Inteligence 52

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 44

Course Training Artificial Inteligence Machine Learning 44

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

Product Management 136

Product Management Artificial Inteligence Machine Learning Weak Development Team 136

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 333

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 333

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. References.

Machine Learning 86

Machine Learning Artificial Inteligence Open Source Windows 86

DataRobot

MARCH 23, 2023

Although companies are keen to gain competitive advantage by leveraging AI to more rapidly bring innovations to market, they are often unable to see end results as quickly as they’d like. Difficulties faced when moving models into production include cost and a lack of automation – cited by over 55% of respondents to a recent IDC study.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Weak Development Team Software Review 52

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.

Organization 276

Organization Technical Review Data Artificial Inteligence 276

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The Impala team continues to innovate to ensure continuing performance leadership. Remote read optimizations: IMPALA-8341: Data cache for remote reads.

Performance 100

Performance Cloud Data Storage 100

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @ApiumHub is among them! Mohamed Taman – Chief Solutions Architect @Effortel Chief Solutions Architect @Effortel, CEO @SiriusX Innovations d.o.o, Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 120

Testing Engineering Software Technology 120

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. Data Innovation Summit 2022 edition at glance. Save the dates: 5th & 6th May, 2022. .

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

Apiumhub

SEPTEMBER 20, 2023

October is around the corner, and it’s a prime time for tech enthusiasts, industry leaders, and innovators to come together and explore the latest trends, breakthroughs, and ideas. The Data 2030 Summit tech conference serves as a yearly roundtable gathering, uniting the Data Management community within a single forum.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Cloudera

DECEMBER 10, 2020

Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands. You don’t need a highly skilled administrator to add nodes to the cluster and replicate data to increase capacity.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Data 114

Data Machine Learning Artificial Inteligence Analytics 114

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). It has also become the new “must have” language on résumés: knowing C++ proves that you’re tough, that you’re a “serious” programmer.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 87

Data Scalability Analytics Quality Assurance 87

DataRobot

MARCH 16, 2023

To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. Agility and enterprise security, compliance, and governance are often at odds. They work with partners in IT to harden ML use cases into production systems.

Data 52

Data Machine Learning Artificial Inteligence Agile 52

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 66

Cloud Data Load Balancer Storage 66

Cloudera

DECEMBER 21, 2020

Known previously as the ‘Data Anywhere’ category, the newly titled ‘Enterprise Data Cloud’ category better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. Now there is a single source of truth for all its data, accessible via an easy-to-use search function.

Data 99

Data Enterprise Technical Review Cloud 99

Cloudera

MAY 17, 2021

When you migrate to the cloud, you want to gain agility through real measurable improvements in your analytics development projects . You want to partner with a rising star in the market that will continue to invest and innovate in ways that drive towards an even better future.

Cloud 91

Cloud Data Agile Analytics 91

TIBCO - Connected Intelligence

DECEMBER 20, 2021

Given the wealth of enhancements and new products TIBCO has announced this year, we want to offer a recap of 2021 innovations to the TIBCO Connected Intelligence platform. The Connect Portfolio’s Multiple Innovations Spark Growth and Industry Recognition from Four Analysts.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Altexsoft

OCTOBER 26, 2022

A Chief Digital Officer or CDO is a C-level specialist who drives digital transformation by building an innovative ecosystem in the company to ultimately transform a traditional analog business into a digital one. CMOs are often the catalysts for the digitization that drive the innovation agenda. Who reports to whom?

CTO 52

CTO Organization Technical Review Culture 52

Cloudera

DECEMBER 18, 2017

We’ve learned from these innovators that business transformation with data happens in three predictable phases, represented by the graphic below. The data-driven journey often begins with simple, tactical use cases – typically around visibility. How do I look across all my silos of data?

Data 40

Data Business Transformation Machine Learning Artificial Inteligence 40

CIO

JULY 5, 2023

Around the same time of the release, Repsol appointed Juan José Casado Quintero as its new chief digital officer (CDO), another strategic move to digitally transform and accelerate the company’s strategy to become a data-driven company.

Artificial Inteligence 263

Artificial Inteligence Energy Generative AI Strategic Planning 263

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Analytics maturity model. Automating predictive analysis.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

JANUARY 11, 2021

And we want to model it quickly with some historic customer usage data…and oh yeah, it should be about 100TB, per day.”. Shadow IT’ projects crop up in LoBs to overcome rigidity that stifles innovation and progress. SDX is also the key to serve multiple workloads on the same data. Simplified provisioning.

Data 64

Data Pharmaceuticals Open Source Machine Learning 64

CIO

AUGUST 3, 2022

Modern delivery is product (rather than project) management , agile development, small cross-functional teams that co-create , and continuous integration and delivery all with a new financial model that funds “value” not “projects.”. Modern delivery. The cloud. The cloud is about more than managing costs.

IoT 363

IoT SDLC Machine Learning Artificial Inteligence 363

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 109

Cloud Artificial Inteligence Generative AI Analytics 109

Cloudera

OCTOBER 13, 2021

On-premises, traditional data and analytics clusters are monolithic deployments of tight coupled compute and storage, unable to cope with current business demands of fast and agile use case deployment with services that are statically provisioned to physical infrastructure. The solution is clear, but the path to it is less so.

Data Center 102

Data Center Cloud Data How To 102