TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

Artificial Inteligence 234

Artificial Inteligence Data Artificial Intelligence Weak Development Team 234

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. And third of all, to provide customers with APIs that they can use to embed the metric-extracting tools into other applications, whether in business intelligence or elsewhere.

Metrics 247

Metrics Tools Data Big Data 247

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 86

Data Analytics Machine Learning Artificial Inteligence 86

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%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. 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.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

CIO

APRIL 4, 2023

All organizations need an optimized, future-proofed data architecture to move AI forward. Complexity slows innovation Data growth is skyrocketing. Layered on top of that are the different types of data stored in various siloes and locations throughout an organization. MB every second. A zettabyte has 21 zeroes.

Architecture 130

Architecture Data Analysis Construction 130

TIBCO - Connected Intelligence

DECEMBER 20, 2021

Given the wealth of enhancements and new products TIBCO has announced this year, we want to offer a recap of 2021 innovations to the TIBCO Connected Intelligence platform. The Connect Portfolio’s Multiple Innovations Spark Growth and Industry Recognition from Four Analysts.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Scalability 112

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. Your company has thousands of databases and 14,000 business intelligence users. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 154

Machine Learning Artificial Inteligence Company Case Study 154

TechCrunch

DECEMBER 16, 2020

Together with former Bessemer Ventures investor Kashish Gupta , the team decided to see how they could innovate on top of this trend and help businesses activate all of this information. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes.

Data 251

Data B2C Analytics Big Data 251

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Apiumhub

APRIL 8, 2021

Borba has been named a top Big Data and data science influencer and expert several times. He has also been named a top influencer in machine learning, artificial intelligence (AI), business intelligence (BI), and digital transformation. Jen Stirrup is a top influencer in Big Data and Business Intelligence.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. An open lakehouse, and the birth of Apache Iceberg.

Data 92

Data Analytics Open Source Architecture 92

Datavail

JUNE 15, 2023

The Microsoft Fabric platform includes: Power BI : The Microsoft business intelligence tool that’s a mainstay for many organizations, infused with a generative AI copilot for business analysts and business users. Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources.

Azure 52

Azure Analytics Storage Generative AI 52

ParkMyCloud

MAY 29, 2019

The cloud jobs that are available in the market today are a result of employer demand to drive innovation and are paramount for new business applications and services to the end-user. Business Intelligence Analyst. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Capgemini

NOVEMBER 14, 2022

But this requires data accessibility for every worker. Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. But how to get there, and become a self-service data master? INNOVATION TAKEAWAYS.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

NOVEMBER 19, 2020

CDP works across private and hybrid cloud environments, and because it is built on open source capabilities, it is interoperable with a broad range of current and emerging analytic and business intelligence applications. Analyzing historical data is an important strategy for anomaly detection. Fraudulent Activity Detection.

Government 117

Government Artificial Inteligence Machine Learning Data 117

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @ApiumHub is among them! Mohamed Taman – Chief Solutions Architect @Effortel Chief Solutions Architect @Effortel, CEO @SiriusX Innovations d.o.o, Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Data lake architecture example. Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Storage Machine Learning 52

TIBCO - Connected Intelligence

SEPTEMBER 29, 2021

Day three of TIBCO NOW left attendees feeling inspired to innovate, encourage diversity and inclusion, and fuel data-driven decision-making across digital businesses. TIBCO CEO Dan Streetman kicked the day off with his keynote address, speaking on the importance of data in solving the world’s most pressing challenges.

Data 49

Data Artificial Inteligence Energy Artificial Intelligence 49

Kentik

MAY 23, 2017

Note that the above use cases cover network performance monitoring, planning, and business intelligence. Big data insights have the power to drive efficiency, market savvy, automation, and better service experience. It’s one thing to know that something would be good for your business, and quite another to actually achieve it.

Network 40

Network Open Source Big Data Load Balancer 40

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Aniruddha Ray, Data Capability and Innovation Lead, ATCI.

Data 82

Data Analytics Cloud Technical Review 82

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Kentik

JULY 18, 2016

Access to rich data matters in part because it enables insights that can make routine tasks far faster and more accurate. But information can also power innovation — not just seemingly unattainable innovation with a capital “I,” like flying cars, but also continuous incremental improvement in the operation of a digital business.

Big Data 40

Big Data Network Analytics Data 40

Altexsoft

OCTOBER 8, 2021

Xplenty: convenient low-code environment for data integration. Xplenty is a cloud-based , low-code data transformation and integration platform that helps users organize and prepare their data for advanced business intelligence and analytical purposes. Data profiling and cleansing. Suitable for.

Tools 52

Tools Data Software Review Open Source 52

Datavail

MARCH 10, 2022

Data stewards – provide oversight of data sets to maintain data integrity and ensure implementation of policies from the committee and end-user compliance with the policies. Others – data modelers, data engineers, data architects, and data quality analysts also contribute to the DG process.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

NOVEMBER 9, 2021

It’s usually used to adjust existing predictions within fast-changing markets such as innovative technology. Accurate forecasting is a foundation of intelligent planning and budgeting. To succeed, you have to be able to forecast consumer behavior, price changes, impact of innovations, and so on. Extract data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Strategy Driven

AUGUST 27, 2015

Dale Neef is a technology advisor, and author of Digital Exhaust: What Everyone Should Know About Big Data, Digitization and Digitally Driven Innovation (FT Press).

Big Data 34

Big Data Data Storage Journal 34

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61