TechCrunch

OCTOBER 18, 2021

The Kansas City, Missouri startup has closed a round of $24 million, a Series A that it will be using to continue developing its technology and to extend into a wider range of enterprise verticals. It covered more than just biometrics. That is the critical point for investors.

Enterprise 340

Enterprise Data Blockchain Healthcare 340

TechCrunch

AUGUST 19, 2021

George Mathew, managing director of Insight Partners, believes we are seeing the third generation of business intelligence tools emerging following centralized enterprise architectures like SAP, then self-service tools like Tableau and Looker and now companies like Metabase that can get users to discovery and insights quickly.

Business Intelligence 248

Business Intelligence Enterprise Tools Open Source 248

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise.

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Trends 218

Trends Strategy Enterprise Data 218

TechCrunch

APRIL 5, 2022

For all the talk about the criticality of data for businesses, enterprise data is commonly siloed, unreconciled and spread across disparate systems, making it challenging to use and analyze. Hurt got his start as a systems analyst at Deloitte before founding Coremetrics, a web analytics platform IBM later acquired for around $300 million.

Enterprise 249

Enterprise Organization Data Government 249

CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 205

Analytics Metrics Government Business Intelligence 205

CIO

JUNE 24, 2024

Yet this acceleration can aggravate business management and create fundamental business risk, especially for established enterprises. In 2019, 80% of enterprise executives said innovation was a top priority but only 30% said they were good at it.

Architecture 164

Architecture Innovation Enterprise Scalability 164

TechCrunch

OCTOBER 27, 2020

Rockset , a cloud-native analytics company, announced a $40 million Series B investment today led by Sequoia with help from Greylock, the same two firms that financed its Series A. “We’re building out our service with innovative architecture and unique capabilities that allows full-featured fast SQL directly on raw data.

Analytics 216

Analytics Data Metrics Scalability 216

TechCrunch

AUGUST 16, 2022

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. That’s why Uri Beitler launched Pliops , a startup developing what he calls “data processors” for enterprise and cloud data centers. Marvell has its Octeon technology.

Data Center 208

Data Center Analytics Weak Development Team Data 208

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. The opportunity that Firebolt is targeting is a ripe one in the world of enterprise. billion valuation. (It’s

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

NOVEMBER 19, 2024

The requirements for the system stated that we need to create a test data set that introduces different types of analytic and numerical errors. This data would be utilized for different types of application testing. This article was made possible by our partnership with the IASA Chief Architect Forum.

Case Study 202

Case Study Artificial Inteligence Study Architecture 202

CIO

AUGUST 9, 2022

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. They visualize and design an organization’s enterprise data management framework.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. They visualize and design an organization’s enterprise data management framework.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. To Petrossian’s point, a survey commissioned by data integration platform Matillion found that as much as 57% of the time involved in analytics projects is spent tackling data transformation hurdles.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

TechCrunch

JUNE 1, 2022

Taking just Coralogix’s own customer base, those 2,000+ enterprise customers covers 20,000 active users (engineers and other technical teams) and no less than 500,000 applications, which speaks a lot to the fragmentation and data stream spaghetti that DevOps teams are facing.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

CIO

FEBRUARY 20, 2024

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT.

Enterprise 196

Enterprise Cloud Strategy Technical Review 196

CIO

APRIL 4, 2024

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI Data prep matters, except… In areas such as supply chain and analytics, having all of your data in a form readily available to an AI model is essential.

Enterprise 202

Enterprise Technical Review Generative AI Artificial Inteligence 202

CIO

SEPTEMBER 5, 2024

e& enterprise, a leader in enterprise digital services, will play a pivotal role as the summit’s Host Partner. With its extensive experience in delivering digital transformation solutions, e& enterprise is well-positioned to help organizations harness the power of AI and advanced technologies to drive innovation and growth.

Enterprise 166

Enterprise Artificial Inteligence Artificial Intelligence Innovation 166

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake. This is not just a problem at Sisense.

Data 253

Data Big Data Analytics Enterprise 253

CIO

JULY 24, 2024

Why is TreeHouse Foods moving from a holding company model into an enterprise model? What advantages does moving to an enterprise model offer? With the enterprise model, we can do more vertical integration in some product lines. What’s is your target architecture? Many of our competitors compete in one category.

Enterprise 148

Enterprise Strategy Architecture Retail 148

TechCrunch

JUNE 1, 2022

Every aspect of the enterprise is being instrumented for data, so new operations are built based on that data, pushing every company into becoming a data company. The enterprise wants to store everything they can in the hopes of being able to deliver improved customer experiences and new market capabilities. Image Credits: Venrock.

Serverless 245

Serverless Enterprise Microservices Open Source 245

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

Artificial Inteligence 195

Artificial Inteligence Enterprise Trends Open Source 195

TechCrunch

DECEMBER 15, 2021

SQream , a well-funded Israel-based data analytics platform, today announced that it has acquired no-code data platform Panoply in an effort to expand its cloud services. This is a huge milestone on our journey to provide the world with the new category of analytics platform that is ready for tomorrow’s data challenges.”

Data 234

Data Analytics Cloud Architecture 234

CIO

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). Nearly every customer has an information architecture that expands beyond SAP. The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning.

Artificial Inteligence 194

Artificial Inteligence Generative AI Government Architecture 194

Cloudera

MAY 9, 2024

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! We’re at a crucial point in time where trusted data is fundamental for driving new AI use cases, enabling real-time operations, and allowing enterprises to easily scale.

Analytics 108

Analytics Data Data Center Course 108

CIO

SEPTEMBER 7, 2023

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. There are also challenges. They are overwhelmed.

Enterprise 158

Enterprise Cloud Architecture Survey 158

CIO

NOVEMBER 22, 2024

It’s a position many CIOs find themselves in, as Guan noted that, according to an Accenture survey, fewer than 10% of enterprises have gen AI models in production. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said.

Airlines 204

Airlines Generative AI LAN Travel 204

CIO

NOVEMBER 25, 2024

We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. Oracle will also enable LeeSar to run its business from an enterprise platform. We wanted to get the solution in and the data across, and ensure acceptance within the organization.

Systems Review 197

Systems Review Technical Review System Analytics 197

CIO

DECEMBER 10, 2024

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. The rise of vertical AI To address that issue, many enterprise AI applications have started to incorporate vertical AI models. In fact, business spending on AI rose to $13.8

Artificial Inteligence 173

Artificial Inteligence Off-The-Shelf Insurance Analytics 173

TechCrunch

OCTOBER 7, 2021

” But, he added, “there was nothing on the market designed for this type of architecture” that others could equally use, so they wanted to tackle the more general challenges of cloud-native complexity by building that platform themselves.

Cloud 209

Cloud Sport Open Source Artificial Inteligence 209

Tenable

DECEMBER 5, 2024

4, NIST released the draft Guidance for Implementing Zero Trust Architecture for public comment. Tenable has been proud to work alongside the NIST National Cybersecurity Center of Excellence (NCCoE) to launch the Zero Trust Architecture Demonstration Project. Verify everything. All the time.

Architecture 66

Architecture Off-The-Shelf Network IoT 66

CIO

OCTOBER 17, 2023

We’ve all heard this mantra: “Secure digital transformation requires a true zero trust architecture.” Its advanced zero trust architecture minimizes the attack surface by hiding applications behind the Zscaler security cloud. A large enterprise with a hybrid network requires modern technology to secure it. “A

Security 214

Security Airlines Data Center Architecture 214

CIO

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

AWS Machine Learning - AI

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? We also learned architecture patterns from basic prompt engineering to fine-tuning and RAG.

Generative AI 134

Generative AI Artificial Inteligence Enterprise Data 134