Architecture, Business Intelligence, Enterprise and Research

AI adoption accelerates as enterprise PoCs show productivity gains

CIO

APRIL 4, 2024

“We need to continue to be mindful of business outcomes and apply use cases that make sense.” 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 Webster Bank is following a similar strategy.

Enterprise

Enterprise Generative AI Technical Review Artificial Inteligence

Leaning into Retail’s Challenges with Digital Transformation

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? They’ve embraced the on-demand mentality of being able to research products online, order from their couches and, if necessary, do in-store pickups without having to stand in line. It’s about making the data architecture data centric.

Retail

Retail Minimum Viable Product Architecture Machine Learning

What is data governance? Best practices for managing data assets

CIO

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Government

Government Data Technical Review Policies

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

MORE WEBINARS

Birst: An end-to-end business intelligence and analytics platform

CTOvision

SEPTEMBER 11, 2016

Research Team. Birst provides and end-to-end Business Intelligence and analytics platform built on a cloud architecture. We are initiating coverage of them now and tracking them in our Disruptive IT Directory as a leader in Business Intelligence and Analytics.

Business Intelligence

Business Intelligence Analytics Agile Architecture

Birst: An end-to-end business intelligence and analytics platform

CTOvision

SEPTEMBER 11, 2016

Research Team. Birst provides and end-to-end Business Intelligence and analytics platform built on a cloud architecture. We are initiating coverage of them now and tracking them in our Disruptive IT Directory as a leader in Business Intelligence and Analytics.

Business Intelligence

Business Intelligence Analytics Agile Architecture

Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

APRIL 6, 2022

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. A screenshot of Ascend.io’s platform. That’s where Knapp believes Ascend can make a difference.

Data

Data Technical Cofounder Weak Development Team Data Engineering

5 tips for excelling at self-service analytics

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

Analytics Metrics Government Business Intelligence

The CIO’s new role: Orchestrator-in-chief

CIO

DECEMBER 4, 2023

It’s really only the CIO and the CEO who have this perspective,” says Irving Tyler, distinguished research vice president with Gartner’s CIO Research team. That is enabling them to even further increase their overview of the entire enterprise. But their research showed the opposite is true. “In What about the CIO? “At

Technical Review

Technical Review Artificial Intelligence Artificial Inteligence Strategy

5 Managed IT Services That Every Enterprise Depends On

Protera

SEPTEMBER 13, 2022

Enterprise managed services are becoming essential to large companies in every industry as IT infrastructures and technology in general evolve and advance at a rapid pace. Cloud migration, data intelligence, IT security and digital transformation are just some of the many IT priorities companies are balancing today. Quick Takeaways.

Enterprise

Enterprise Business Intelligence Cloud Infrastructure

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. An example of a data lake architecture.

Architecture

Architecture Data Storage Machine Learning

Hire Enterprise Software Developer

Mobilunity

MARCH 31, 2023

The rise of digital transformation caused significant popularity of enterprise app development. It helps businesses to adapt to changing technologies, stay competitive, and meet customer needs. In this article, we will study the benefits of outsourcing enterprise software development.

Software Development

Software Development Software Review Enterprise Software

Innovative Manufacturers are Investing in these Advanced Technologies

CIO

JANUARY 12, 2023

The Lowdown on Edge Computing As new enterprise IT infrastructure deploys at the edge instead of in corporate data centers, there’s one main trigger for this shift. An edge computing architecture can begin to help solve these problems. A lot of it. IT Leadership.

Technical Review

Technical Review Technology Innovation Data Center

Fundamentals of Data Engineering

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering

Data Engineering Engineering Data Technical Review

9 business intelligence certifications to advance your BI career

CIO

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence

Business Intelligence Business Analytics Analytics Analysis

Use Cases and Successes for Perficient’s Healthy Lakehouse Solution

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare

Healthcare Technical Review AWS Analytics

Attention All Pentaho Users: More Proof You Are In Good Company

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Product innovation drives unprecedented enterprise customer growth. The introduction of Pentaho Business Analytics 5.0 The following is from: [link].

Big Data

Big Data Business Analytics Analytics Business Intelligence

Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big Data Technologies and Architectures. Only three years later, that number more than tripled to 59% in 2018.

Analytics

Analytics Trends Data Big Data

Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. From revenue models to technical architectures, digital transformation is remaking the way that organizations do business.” – John Myers. BUSINESS IMPACT. Grow Your Business. TECHNICAL IMPACT.

Meeting

Meeting Data Technical Review Machine Learning

When Ralph Kimball Speaks People Listen: Hear what the father of the data warehouse has to say about Apache Hadoop

CTOvision

MARCH 5, 2014

His approach to dimensional modeling (known as the Kimball methodology) is currently the de facto standard in most enterprise decision support systems. Hadoop 101 for Enterprise Data Warehouse Professionals. Prior to Cloudera, he delivered enterprise search, business intelligence, and data discovery products at Endeca and Oracle.

Data

Data Big Data Case Study Analysis

SAP enhances Datasphere and SAC for AI-driven transformation

CIO

MARCH 6, 2024

Jurgen Mueller, SAP CTO and executive board member, called the innovations, which includes an expanded partnership with data governance specialist Collibra, a “quantum leap” in the company’s ability to help customers drive intelligent business transformation through data. That hasn’t always been the case,” Menninger said.

Artificial Inteligence

Artificial Inteligence Generative AI Government Architecture

The DevOps Trends Forecast for 2020

RapidValue

APRIL 20, 2020

A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 Cloud-native DevOps is expected to further grow in the future with 80% of enterprise IT moving to the cloud in the next five years. The Artificial Intelligence Hype. Billion by 2023. billion in the future.

DevOps

DevOps Trends Artificial Inteligence Serverless

25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

CTOvision

FEBRUARY 4, 2015

Track sessions will focus on: Enabling Business Results with Big Data — How to enable agency programs that will yield enormous value through big data to deliver actionable information and measureable results. It’s time to unlock the knowledge in your enterprise information and deliver valuable agency insights, decision support, and results.

Fractional CTO

Fractional CTO Technical Review Big Data Analytics

Software Outsourcing: Why CEOs Love It

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Modernize applications and migrate workloads to the cloud where they can be worked on from anywhere.

Software Review

Software Review Technical Review Software Development Team Review

Join Architects, Planners, Program Managers, Data Scientists at 4th Annual Cloudera Federal Forum in DC 25 Feb

CTOvision

JANUARY 18, 2015

Track sessions will focus on: Enabling Business Results with Big Data — How to enable agency programs that will yield enormous value through big data to deliver actionable information and measureable results. It’s time to unlock the knowledge in your enterprise information and deliver valuable agency insights, decision support, and results.

Fractional CTO

Fractional CTO Program Management Programming Big Data

Improving Efficiency with Manufacturing Software Development Services

Mobilunity

MAY 26, 2023

From enterprise resource planning systems to predictive maintenance tools, these solutions help automate, streamline, and optimize various aspects of the manufacturing process. Catering to both startups and large-grade enterprises, let’s explore how these solutions adapt to different business sizes: Startups. Large enterprises.

Software Development

Software Development UI/UX Software Development

IBM Drives Enterprise Adoption of Social Networks with New Enterprise Adaptability Practice

elsua: The Knowledge Management Blog

MARCH 21, 2008

Enterprise

Enterprise Network Wireless Social

Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

FEBRUARY 11, 2019

AI and machine learning in the enterprise. When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Deep Learning.

Big Data

Big Data Technology Tools Cloud

IBMs Web 2.0 and Beyond Summit - April 15-17 - Watson Research Center (Yorktown Heights, NY, US)

elsua: The Knowledge Management Blog

APRIL 15, 2008

Research

Research Wireless Linux Data Center

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics. Everything starts with a plan.

Business Intelligence

Business Intelligence Analytics Analysis Data

IBM Lotus Enterprise 2.0 Workshop Event - Madrid, March 2008

elsua: The Knowledge Management Blog

FEBRUARY 20, 2008

Enterprise

Enterprise Wireless Linux Data Center

Enterprise 2.0 Conference Event - Making the Shift to Enterprise 2.0 - Want to Go? Here Is How

elsua: The Knowledge Management Blog

JUNE 11, 2007

Enterprise

Enterprise Wireless Conference Linux

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

elsua: The Knowledge Management Blog

JULY 6, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Fixing the Generation Gap - Part V

elsua: The Knowledge Management Blog

JULY 9, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Fixing the Generation Gap - Part V

elsua: The Knowledge Management Blog

JULY 10, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - And the Value of Weblogging - Part VI

elsua: The Knowledge Management Blog

JULY 10, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Its All about the People! (Part II)

elsua: The Knowledge Management Blog

JULY 11, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Its All about the People! (Part II)

elsua: The Knowledge Management Blog

JULY 6, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Finding the Talent within Your Organisation - Part IV

elsua: The Knowledge Management Blog

JULY 9, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Finding the Talent within Your Organisation - Part IV

elsua: The Knowledge Management Blog

JULY 10, 2007

Enterprise

Enterprise Wireless Linux Data Center

Case Study Using Wiki and Social Software in the Enterprise - Conversation with Jon Mell

elsua: The Knowledge Management Blog

MAY 3, 2008

Case Study

Case Study Enterprise Wireless Study

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

elsua: The Knowledge Management Blog

JULY 13, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

elsua: The Knowledge Management Blog

JULY 11, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

elsua: The Knowledge Management Blog

JULY 8, 2007

Enterprise

Enterprise Wireless Linux Data Center

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

elsua: The Knowledge Management Blog

JULY 8, 2007

Enterprise

Enterprise Wireless Linux Data Center

AI adoption accelerates as enterprise PoCs show productivity gains

Leaning into Retail’s Challenges with Digital Transformation

Webinars

Trending Sources

What is data governance? Best practices for managing data assets

Webinars

Birst: An end-to-end business intelligence and analytics platform

Birst: An end-to-end business intelligence and analytics platform

Ascend.io lands $31M to automate data pipeline orchestration

5 tips for excelling at self-service analytics

The CIO’s new role: Orchestrator-in-chief

5 Managed IT Services That Every Enterprise Depends On

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Hire Enterprise Software Developer

Innovative Manufacturers are Investing in these Advanced Technologies

Fundamentals of Data Engineering

9 business intelligence certifications to advance your BI career

Use Cases and Successes for Perficient’s Healthy Lakehouse Solution

Attention All Pentaho Users: More Proof You Are In Good Company

Three Trends for Modernizing Analytics and Data Warehousing in 2019

Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

When Ralph Kimball Speaks People Listen: Hear what the father of the data warehouse has to say about Apache Hadoop

SAP enhances Datasphere and SAC for AI-driven transformation

The DevOps Trends Forecast for 2020

25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

Software Outsourcing: Why CEOs Love It

Join Architects, Planners, Program Managers, Data Scientists at 4th Annual Cloudera Federal Forum in DC 25 Feb

Improving Efficiency with Manufacturing Software Development Services

IBM Drives Enterprise Adoption of Social Networks with New Enterprise Adaptability Practice

Core technologies and tools for AI, big data, and cloud computing

IBMs Web 2.0 and Beyond Summit - April 15-17 - Watson Research Center (Yorktown Heights, NY, US)

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

IBM Lotus Enterprise 2.0 Workshop Event - Madrid, March 2008

Enterprise 2.0 Conference Event - Making the Shift to Enterprise 2.0 - Want to Go? Here Is How

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Fixing the Generation Gap - Part V

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Fixing the Generation Gap - Part V

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - And the Value of Weblogging - Part VI

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Its All about the People! (Part II)

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Its All about the People! (Part II)

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Finding the Talent within Your Organisation - Part IV

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Finding the Talent within Your Organisation - Part IV

Case Study Using Wiki and Social Software in the Enterprise - Conversation with Jon Mell

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

[e2.0] Enterprise Live Debate: Andrew McAfee and Tom Davenport at Enterprise 2.0 - Surviving the Knowledge Economy - Part III

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