Xebia

AUGUST 4, 2022

Recently, I tried out different tools in the Business Intelligence (BI) space in order to find one that suited my needs. Ideally free/open source – to keep the option open to share with the world. Open source. Open source. IBM Cognos Analytics. Some form of re-usability.

Business Intelligence 130

Business Intelligence Tools Software Review Open Source 130

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

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

CIO

APRIL 22, 2022

Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. Data science takes the output of analytics to solve problems. The difference between data analytics and data science is also one of timescale. Data science jobs.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

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

CIO

SEPTEMBER 11, 2024

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. Each unit has the extensive power to use the app to create reports, dashboards, and advanced analytics models.

Artificial Inteligence 198

Artificial Inteligence Artificial Intelligence Social Tourism 198

TechCrunch

OCTOBER 14, 2021

But Kim argues that most of them simply focus on making AI available for anymore, which makes data analytics and business intelligence easier and accessible to more people. Like similar projects, the Spice AI team is launching its idea as an open-source project.

Applications 243

Applications Development Azure Business Intelligence 243

O'Reilly Media - Data

AUGUST 2, 2018

In a previous post , I highlighted early tools for privacy-preserving analytics, both for improving decision-making (business intelligence and analytics) and for enabling automation (machine learning). In this episode of the Data Show , I spoke with Chang Liu , applied research scientist at Georgian Partners.

Machine Learning 136

Machine Learning Artificial Inteligence Open Source Business Intelligence 136

TechCrunch

APRIL 19, 2022

According to a 2018 Gartner report, 87% of organizations have low business intelligence and analytics maturity. Enso’s platform enables data analytics. Together, Danilo and Brodacka created Enso’s first product: the eponymous open source project Enso.

Enterprise 232

Enterprise Data Technical Cofounder Technical Review 232

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

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O is the open source math & machine learning platform for speed and scale. Alteryx, a leader in Strategic Analytics, dramatically improves data analysts’ productivity.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

Big Data 109

Big Data Analytics AWS Data 109

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 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most.

Artificial Inteligence 190

Artificial Inteligence Azure Machine Learning Metrics 190

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. What is OLAP: Online Analytical Processing. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

O'Reilly Media - Data

JULY 23, 2018

Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Temporal data and time-series analytics". Model serving and management at scale using open-source tools. Recommendation Systems". Text and Language processing and analysis".

Machine Learning 180

Machine Learning Artificial Inteligence How To Case Study 180

CIO

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

Business Intelligence 197

Business Intelligence Pharmaceuticals Technical Review Government 197

TechCrunch

APRIL 13, 2021

Meroxa , a startup that makes it easier for businesses to build the data pipelines to power both their analytics and operational workflows, today announced that it has raised a $15 million Series A funding round led by Drive Capital. million seed round now brings total funding in the company to $19.2 million. .’

Data 248

Data Software Engineering Open Source Engineering 248

TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

Big Data 107

Big Data Business Analytics Company Analytics 107

Altexsoft

FEBRUARY 3, 2020

The only way to exploit huge information bases is to use data analytics platforms. The Internet is packed with hundreds of options, so our goal is to help you out by presenting the 11 most effective data analytics tools for 2020. Data Analytics Definition, Stats, and Benefits. Continuous software improvements and upgrades.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Fraudulent Activity Detection.

Government 119

Government Artificial Inteligence Data Machine Learning 119

The Citus Data

MARCH 3, 2020

In recent years, the data landscape has seen strong innovation as a result of the onset of open source technologies. At the forefront, PostgreSQL has shown that it’s the open source database built for every type of developer. Sudhakar: Can you share your insights on PostgreSQL and open source in general?

Azure 23

Azure Open Source Systems Review Software Review 23

AWS Machine Learning - AI

MARCH 20, 2025

Therefore, it was valuable to provide Asure a post-call analytics pipeline capable of providing beneficial insights, thereby enhancing the overall customer support experience and driving business growth. Ragas is an open source evaluation framework that helps evaluate FM-generated text.

Generative AI 68

Generative AI Artificial Inteligence Metrics AWS 68

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

CTOvision

FEBRUARY 1, 2017

We track DataRobot in our Disruptive IT Finder (in sections on Artificial Intelligence and Business Intelligence companies), and have always held their capable team in the highest of regards. Bob Gourley. The press release below gives us reason to hold them in even higher regard: BOSTON , Jan.

Artificial Inteligence 97

Artificial Inteligence Artificial Intelligence Marketing Machine Learning 97

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Picture source: Stellar. Picture source: Stellar.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Cloudera

AUGUST 17, 2021

And by being purely python based, Apache Airflow pipelines are accessible to a wide range of users, with a strong open source community. Let’s take a common use-case for Business Intelligence reporting. Figure 1: Pipeline composed of Spark and Hive jobs deployed to run within CDE’s managed Apache Airflow service.

Data 115

Data Open Source Analytics Machine Learning 115

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

Big Data 105

Big Data Fractional CTO Government CTO 105

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 94

Data Analytics Open Source Architecture 94

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

Big Data 108

Big Data Technology Tools Cloud 108

Bernd Rucker

MAY 25, 2022

With Camunda Platform 8 being available to the public , we regularly answer questions about our open source strategy and the licenses for its various components. The following illustration colors the components according to their license: Green : Open source license. The striped components use a source-available license.

Open Source 98

Open Source Software Review Development Team Review Technical Review 98