Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 73

Big Data Data Artificial Intelligence Artificial Inteligence 73

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data 108

Data Government Artificial Intelligence Artificial Inteligence 108

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Increasingly, businesses are realizing they need to invest in skills development to leverage emerging technologies, agrees SPR’s Mead.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Datavail

JUNE 19, 2019

Business intelligence and analytics may quite possibly be the most complex segment of a company’s IT environment. Your enterprise data is meant to be kept in a living, breathing information store that can meaningfully interface with business users from day to day. What steps can be taken to make that journey?

Analytics 40

Analytics Cloud Artificial Inteligence Architecture 40

Exadel

FEBRUARY 27, 2023

Add custom software solutions, including systems built with legacy tech stacks, and you’ll get 400 separate data sources that a modern organization needs to fulfill basic data analytics on, as well as business intelligence objectives. Reimagine your business through an AI lens.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

TechCrunch

MAY 3, 2022

Databases are growing at an exponential rate these days, and so when it comes to real-time data observability, organizations are often fighting a losing battle if they try to run analytics or any observability process in a centralized way. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

Data 192

Data Artificial Inteligence Lambda Analytics 192

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence.

Architecture 52

Architecture Cloud Storage Google Cloud 52

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

Apiumhub

APRIL 6, 2021

The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities. SmartData Collective SmartData Collective is a community site focused on trends in business intelligence and data management. In this blog you may find key findings and explanations.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

RapidValue

APRIL 20, 2020

Having mentioned about cloud-native DevOps, another trend that deserves all the hype is the implementation of serverless architecture in DevOps. Serverless architecture has been the buzz for a while now owing to the flexibility that comes with it. The Artificial Intelligence Hype. billion in the future.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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 311

Artificial Inteligence Generative AI Government Architecture 311

Cutter Consortium

JUNE 29, 2018

The premise, therefore, of this issue of the Cutter Business Technology Journal with Guest Editor Barry Devlin is that a (successful) data warehouse is the best starting point for the organizational, architectural, and technological journey to becoming a digital business. Where will today’s analytics adapt?

Data 40

Data Journal Systems Review Technical Review 40

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

Altexsoft

APRIL 13, 2023

“Control towers are the artificial intelligence (AI) of supply chain. The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar).

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 288

Artificial Inteligence Data Artificial Intelligence Analytics 288

Cloudera

AUGUST 30, 2022

Data quality issues deter trust and hinder accurate analytics. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Forrester ).

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

CIO

MARCH 2, 2023

“In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. We’ll also continue with advancements in distribution management, the metering ecosystem, and consumer data analytics.” million consumers.

Artificial Inteligence 358

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 358

Datavail

OCTOBER 20, 2022

The things you know about your business are the assets, processes, and strategies that make it function, be productive and thrive. The thing you don’t know about artificial intelligence (AI) is how it uses your deep enterprise knowledge to enhance your company’s progress toward its goals.

Programming 52

Programming Artificial Intelligence Artificial Inteligence Meeting 52

CIO

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

The Cipher Brief

MAY 31, 2021

They are an essential component in the sensors and communications systems necessary for artificial intelligence capabilities. This requires investment in skills and tools, including advanced analytics technologies such as artificial intelligence. CHINESE TRANSFER VECTORS. Unpicking PRC activity is challenging.

Artificial Intelligence 52

Artificial Intelligence Artificial Inteligence Research Government 52

CIO

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. For this, we’re also working on creating a platform in the cloud for each country, which puts order in the data architecture.

Cloud 246

Cloud Insurance Strategic Planning Strategy 246

TIBCO - Connected Intelligence

NOVEMBER 7, 2019

The TIBCO analytics and data management portfolio solves the tough analytics problems and deployment challenges when other tools run out of gas. From #DataScience to #Streaming to #EBX to #Spotfire , analytics with TIBCO is truly #BetterTogether. Augment Intelligence with Data Management and Data Virtualization.

Analytics 7

Analytics Artificial Inteligence Artificial Intelligence Virtualization 7

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CIO

APRIL 10, 2024

Previous generations of AI and analytics, big data, or streaming data, were led by technologies. The thing setting generative AI apart is the people driving the AI agenda are much more the business leaders than the technical leaders,” he says. For business intelligence jobs, the main skill is SQL.

Artificial Inteligence 338

Artificial Inteligence Generative AI Training Coaching 338

RapidValue

AUGUST 21, 2019

Automation has taken a new leap in the past few years with Artificial Intelligence, Machine Learning, Natural Language Processing, Robotic Process Automation and Internet of Things. The RPA solutions are enhanced with Machine Learning and Artificial Intelligence.

Artificial Inteligence 15

Artificial Inteligence Artificial Intelligence Machine Learning Windows 15

Altexsoft

APRIL 22, 2020

But, understanding and interpreting data is just a final stage in a long way, as the information goes from its raw format to the fancy analytical boards. The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Datavail

JUNE 8, 2023

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. I’ll recap our presentations and everything else the Datavail team learned at Data Summit 2023.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

As for a lack of resources (cited by more than 40% of respondents), there’s at least some reason for hope: machine learning (ML) and artificial intelligence (AI) could provide a bit of a boost. First-generation self-service analytic tools made it easier—and, in some cases, possible —for people to share and experiment with data.

Weak Development Team 129

Weak Development Team Data Technical Review Survey 129

LaunchDarkly

JANUARY 17, 2019

I’m always a fan of people who build new technology, who build new applications and this is a great resource for finding some design patterns and some new ways to build and leverage these technologies, like serverless, and containers, and artificial intelligence APIs. JM: Logi Analytics is an embedded business intelligence tool.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Kentik

FEBRUARY 14, 2023

With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. Business intelligence with data platforms The context of this data innovation is simple: driving business goals forward and delighting customers.

Network 52

Network Data Artificial Inteligence Analysis 52

Praxent

OCTOBER 12, 2021

FSI Member Spotlight Episode #17: Challenges and opportunities surrounding banking data architecture and the pressures of digital transformation initiatives. artificial intelligence-driven mechanics behind that. Understand my business; what’s going on? And the last is predictive analytics.

Banking 52

Banking Off-The-Shelf Fintech Artificial Inteligence 52

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.

Analytics 340

Analytics Artificial Inteligence Artificial Intelligence Hardware 340

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Microservices is a software architecture pattern that structures an application as a collection of small, loosely-coupled services.

Software Development 52

Software Development Trends Technology Software 52

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

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). The term “ML” is No. The term “AI,” meanwhile, is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

CIO

MARCH 8, 2023

As companies digitally transform and steer toward becoming data-driven businesses, there is a need for increased computing horsepower to manage and extract business intelligence and drive data-intensive workloads at scale. HPC is everywhere, but you don’t think about it, because it’s hidden at the core.”

Performance 244

Performance Artificial Inteligence Storage Systems Review 244