CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

APRIL 23, 2025

Streamline processing: Build a system that supports both real-time updates and batch processing , ensuring smooth, agile operations across policy updates, claims and analytics. Features like time-travel allow you to review historical data for audits or compliance. data lake for exploration, data warehouse for BI, separate ML platforms).

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

TechCrunch

JUNE 23, 2022

Starburst , the well-funded data warehouse analytics service and data query engine based on the open-source Trino project, today announced that it has acquired Varada , a Tel Aviv-based startup that focuses on data lake analytics. Data virtualization service Varada raises $12M.

Analytics 218

Analytics Data Open Source Budget 218

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

Business Intelligence 137

Business Intelligence Small Business Weak Development Team Analytics 137

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. The answer is business intelligence. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CIO

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Sport 177

Sport Games Analytics Artificial Inteligence 177

CIO

JUNE 30, 2023

This doesn’t mean the cloud is a poor option for data analytics projects. Data analytics workloads can be especially unpredictable because of the large data volumes involved and the extensive time required to train machine learning (ML) models. Business Intelligence, Data Management Visit Cloudera to learn more.

Analytics 148

Analytics Cloud Data Government 148

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). The need for scaleout and streaming infrastructure can often be traced back to the importance of text, temporal data, and graphs. Visualization, Design, and UX sessions.

Artificial Inteligence 239

Artificial Inteligence Machine Learning Company Case Study 239

Altexsoft

NOVEMBER 28, 2019

But, as a business, you might be interested in extracting value of this information instead of just collecting it. Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

Xebia

OCTOBER 24, 2024

Introduction In today’s data-driven world, business intelligence tools are indispensable for organizations aiming to make informed decisions. However, as with any data analytics platform, managing changes to reports, dashboards, and data sets is a critical concern.

AWS 130

AWS Systems Review System Azure 130

Dell EMC

NOVEMBER 25, 2019

Is your company aiming to be a leader in the field of predictive analytics? more likely to lead the competition in business intelligence and analytics. Converged/hyperconverged infrastructure to support AI workloads. New research suggests it should. Accelerators such as GPUs or FPGAs to support AI workloads.

Analytics 58

Analytics Business Intelligence Research Infrastructure 58

TechCrunch

DECEMBER 6, 2022

. “Operational analytics” Fast-forward to April 2021, and the commercial MergeStat company was officially born, with DeVivo going on to lure Josue Lopez from cloud giant Equinix to serve as chief operating officer (COO), as well as official cofounder.

Open Source 183

Open Source Software Engineering Analytics Engineering 183

TechCrunch

JUNE 30, 2022

Snowplow , a platform designed to create data for AI and business intelligence applications, today announced that it raised $40 million in a Series B funding round led by NEA, Snowplow investors, Atlantic Bridge and MMC. Google Analytics) and customer data platforms (e.g., Google Analytics) and customer data platforms (e.g.,

Data 187

Data Analytics Business Intelligence Google Cloud 187

Altexsoft

NOVEMBER 10, 2020

Business Intelligence is a practice of turning raw data into useful insights. It allows you to collect data from different sources, organize it, and then enjoy the analytics. Probably yes, as it’s the most balanced view of the business you can get. Now, let’s talk about your Business Intelligence strategy.

Business Intelligence 107

Business Intelligence Strategy How To Development 107

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. They are free to choose the infrastructure best suited for each workload.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

JULY 5, 2021

Meet Tinybird , a new startup that helps developers build data products at scale without having to worry about infrastructure, query time and all those annoying issues that come up once you deal with huge data sets. Over the past few years, analytics and business intelligence products have really changed the way we interact with data.

Data 216

Data Firewall Analytics Business Intelligence 216

TechCrunch

OCTOBER 14, 2021

.” He noted that while there has been tremendous progress in AI in the last decade, there is still a wide gap between taking that progress and building intelligent software. The fiber infrastructure got built up but actually connecting it to your house took a long time. Image Credits: SpiceAI.

Applications 243

Applications Development Azure Business Intelligence 243

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. This is where Carto comes along with a product specialized on spatial analytics. Companies use products like Amazon Redshift, Google BigQuery or Snowflake.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

MAY 20, 2024

Long and varied, the list focuses on delivering impactful results for the business, further reshaping the responsibilities and outlook for the CIO role. A mix of IT mainstays and business differentiators, these “top-of-mind” projects hint at where IT is headed in years ahead.

Artificial Inteligence 213

Artificial Inteligence Technical Review Security Survey 213

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

AWS Machine Learning - AI

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. This will provision the backend infrastructure and services that the sales analytics application will rely on.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

RapidValue

DECEMBER 7, 2020

With the addition of Oracle Analytics Cloud (OAC) , Oracle Cloud now has a PaaS solution that can manage all your data analytics requirements within one tool. It is a scalable, reliable, and secure cloud service with extensive analytics capabilities at a lower cost when compared to OBIEE. Senior Software Engineer, RapidValue.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. Today’s investment brings the total raised to $17 million, according to the company.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Data 212

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

Analytics 95

Analytics Retail Architecture Government 95

CIO

NOVEMBER 15, 2022

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. Sanchez-Reina suggested this was putting procurement in a shaker to find the best supplier and service.

Security 214

Security Artificial Inteligence Sustainability Energy 214

CIO

DECEMBER 19, 2024

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

TechCrunch

JANUARY 14, 2022

Daasity , an e-commerce analytics and data company, secured $15 million in Series A funding as it continues developing its approach to helping consumer brands better leverage their customer data to make smarter decisions. Brands win by having access to the right data, which leads to faster and more confident decision-making.

Data 231

Data Infrastructure Analytics Education 231

TechCrunch

APRIL 24, 2022

Soon, the plan will be to incorporate more quality control tools, supply chain finance, personalization for buyers and sellers to connect more likely trades; and further down the line, the startup will also bring more business intelligence and analytics into the mix for its customers.

Retail 242

Retail Business Intelligence Analytics Industry 242

Perficient

NOVEMBER 17, 2024

Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. It is designed to store all types of data (structured, semi-structured, unstructured) and support diverse workloads, including business intelligence, real-time analytics, machine learning and artificial intelligence.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

TechCrunch

AUGUST 24, 2021

Aside from scaling its security operations further, Upstream also intends to use the fresh funds to expand its offerings in data analytics, insurance telematics, predictive analytics and business intelligence, the company said. The company offers automakers a dashboard with cloud-based analytics. Although the U.S.

Automotive 195

Automotive Cloud Insurance Analytics 195

TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. Telling us why her company picked Solwey, eDiscovery Assistant’s Kelly Twigger cited “Andrew’s Ph.D. Expertise is only useful when it’s implemented, though — and Solwey does this too, Twigger said.

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. Since that’s not possible when you’re moving analytics to the cloud, you need to be prepared for the challenges you’ll face. Technology Infrastructure. But, there are many players in the data analytics market.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

CIO

JUNE 14, 2024

How can business leaders balance these two conflicting considerations? Enter GenBI, the new generation of business intelligence GenBI aims to resolve this dilemma by marrying GenAI and business intelligence (BI). At the same time, business users worry about the precautions a GenBI solution takes to secure data.

Artificial Inteligence 187

Artificial Inteligence Generative AI Data Technical Review 187

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109