TechCrunch

AUGUST 16, 2022

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. ” Pliops isn’t the first to market with a processor for data analytics.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Strategy 340

Strategy Weak Development Team Data CTO Coach 340

CIO

OCTOBER 20, 2023

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data 321

Data How To Quality Assurance Software Development 321

CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

TechCrunch

AUGUST 29, 2022

StarTree , a company building what it describes as an “analytics-as-a-service” platform, today announced that it raised $47 million in a Series B round led by GGV Capital with participation from Sapphire Ventures, Bain Capital Ventures, and CRV. Gopalakrishna says he co-launched StarTree in the hopes of streamlining the process.

Analytics 234

Analytics Data Technical Review Software Review 234

TechCrunch

SEPTEMBER 28, 2022

Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.

Storage 224

Storage Cloud Disaster Recovery Sport 224

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 328

Data Database Administration Data Engineering Artificial Inteligence 328

DevOps.com

FEBRUARY 7, 2021

Now more than ever, companies are looking for new ways to incorporate data analytics into their daily operations and leverage data-driven insights to improve business functions. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com. However, understanding […].

Storage 145

Storage Artificial Inteligence Artificial Intelligence Data 145

CIO

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

Infrastructure 355

Infrastructure Artificial Intelligence Artificial Inteligence Data 355

Xebia

MARCH 28, 2024

There has been an uptick in discussions surrounding the modern data stack, data mesh and self-service promising to solve many of your company’s data problems. Knowing a data modeling technique versus implementing it are two entirely different things. Teams creating their own data definitions.

Data 130

Data Technical Review Analytics Systems Review 130

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 357

Government Data Technical Review Policies 357

CIO

JULY 23, 2023

quintillion bytes of new data (that’s 2.5 More than 60% of corporate data is unstructured, according to AIIM , and a significant amount of this unstructured data is in the form of non-traditional “records,” like text and social media messages, audio files, video, and images. Data Management followed by 18 zeros!).

Government 232

Government Artificial Inteligence Data Artificial Intelligence 232

CIO

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Artificial Inteligence 254

Artificial Inteligence Generative AI Machine Learning Analytics 254

CIO

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

Data 315

Data Scalability Serverless Enterprise 315

CIO

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Crop planning. Clinical DSS.

System 341

System Artificial Inteligence Data Analysis 341

TechCrunch

APRIL 5, 2022

Your company may have stored a ton of data in a warehouse — everything is in there. But Tinybird helps companies take advantage of this data in realtime. Essentially, the company ingests data from wherever you store your data, transforms it using SQL and makes it accessible as a JSON-based application programming interface (API).

Analytics 228

Analytics Hotels Travel Retail 228

CIO

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. The rise of edge computing Edge computing has emerged as a strategic paradigm shift in the world of data processing.

Artificial Inteligence 230

Artificial Inteligence Storage Artificial Intelligence Retail 230

TechCrunch

JANUARY 24, 2023

In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places.

Company 203

Company Data Storage Backup 203

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218

Dzone - DevOps

NOVEMBER 21, 2023

In the midst of our ever-expanding digital landscape, data management undergoes a metamorphic role as the custodian of the digital realm, responsible for the ingestion, storage, and comprehension of the immense volumes of information generated daily. Data cleaning and validation: Clean the data and validate the values for accuracy.

Analytics 59

Analytics Data Storage Business Intelligence 59

CIO

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. We discourage that thinking.

Strategy 359

Strategy Data Culture IoT 359

CIO

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

Artificial Inteligence 288

Artificial Inteligence Cloud Artificial Intelligence Analytics 288

CIO

MARCH 5, 2024

billion in the Middle East kingdom to build data centers and a significant cloud presence in the region. Amazon Web Services (AWS) is the latest high-tech giant to announce a major stake in Saudi Arabia’s burgeoning technology industry, unveiling a plan this week to invest more than $5.3

Data Center 254

Data Center Technical Review AWS Data 254

Cloud That

NOVEMBER 16, 2022

Creation of Data Store. Creation of Data Pipeline. Data Ingestion and Testing. These Internet of Things devices generate a large amount of data, which is subsequently transported to the cloud to be analyzed. . AWS IoT Analytics will enable you to convert unstructured data to structured data and then analyze it.

IoT 70

IoT AWS Analytics Data 70

CIO

JANUARY 9, 2023

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 316

IoT Technical Review Company Data 316

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Analytics 76

Analytics Data Banking Big Data 76

TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

Infinidat

OCTOBER 14, 2021

End-to-end Visibility of Backup and Storage Operations with Integration of InfiniGuard® and Veritas APTARE IT Analytics. The outcome is the integration of Veritas APTARE IT Analytics and the Infinidat InfiniGuard® platform, enabling end-to-end visibility across the data infrastructure. Adriana Andronescu.

Backup 96

Backup Storage Analytics Disaster Recovery 96

CIO

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. To address these challenges, agencies are turning to a secure cloud fabric that can ensure the confidentiality, integrity, and availability of their data in the cloud.

Government 251

Government Artificial Inteligence Cloud Data 251

TechCrunch

MAY 19, 2021

German battery analytics software company Twaice has been taking aim at this problem since its founding in 2018, and it announced Wednesday that it has raised $26 million in Series B funding led by Chicago-based Energize Ventures. Twaice also offers solutions before the battery even enters the vehicle or energy storage system.

Analytics 155

Analytics Software Energy Storage 155

The Crazy Programmer

MAY 12, 2021

Companies everywhere are handling more data than ever and all these terabytes of data need to be stored somewhere. Should you store the data in a database, a data warehouse, or a data lake? Choosing the right data storage solution will depend greatly on how the data is going to be used.

Data 162

Data Healthcare IoT Pharmaceuticals 162

CIO

AUGUST 2, 2023

“The era of open borders for data is ending,” declared The New York Times in May 2022. 1 Meeting security, privacy, and compliance ( [link] regulations and protecting data access and integrity ( [link] ) aren’t the end of the data sovereignty journey. Limiting the flow of data can have concrete financial impacts.

Mobile 227

Mobile Data Technical Review Compliance 227

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

Big Data 91

Big Data Azure Google Cloud Data 91

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 284

Strategy Data Transportation Exercises 284

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Energy 79

Energy Analytics Data Machine Learning 79

Apps Associates

AUGUST 2, 2023

However, with rapid growth also comes mounting challenges for Life Science organizations to keep pace with explosive volumes of clinical, genomic, and image data. To accomplish this, the adoption of cloud-based data and analytics solutions becomes paramount in order to acquire, clean, store, catalog, and analyze these large datasets.

Analytics 52

Analytics Data Scalability Storage 52