Perficient

MARCH 29, 2023

Data lakehouses enable business intelligence (BI) and machine learning (ML) on all data. SAP seems to have learned from its Hadoop past and is choosing to partner with industry leaders to focus on areas outside of its business expertise.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

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. The cloud native table format was open sourced into Apache Iceberg by its creators. Cloudera customers run some of the biggest data lakes on earth.

Data 89

Data Analytics Open Source Architecture 89

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. DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster.

Artificial Inteligence 97

Artificial Inteligence Artificial Intelligence Marketing Machine Learning 97

Linux Academy

APRIL 10, 2019

He then covered the new focus on cloud security with an emphasis on access log transparency, data loss prevention, and VPC service controls such as Policy Intelligence, a machine learning-based service that targets access that may be too broad. Cloud SQL for Microsoft SQL Server and Managed Services for Active Directory.

Google Cloud 97

Google Cloud Big Data Cloud Data 97

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

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. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 88

Big Data Technology Tools Cloud 88

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. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.

Artificial Inteligence 317

Artificial Inteligence Azure Machine Learning Metrics 317

Openxcell

SEPTEMBER 4, 2020

Using Python, one can predict outcomes, streamline processes, offer business intelligence insights, and automate tasks. Keras is known as the fanciest machine learning library written in Python. SciPy is a well-known open-source Python library that is used for high-level scientific computations.

Data 69

Data Mobile Analysis Software Development 69

Kentik

JULY 10, 2018

Machine learning engines analyze huge data sets to discover correlations and trends that might be impossible for operators to discern using traditional monitoring techniques. Hadoop-based data lakes support offline batch processing on massive amounts of data for gaining business intelligence insights.

Tools 45

Tools Cloud Big Data WAN 45

TIBCO - Connected Intelligence

DECEMBER 22, 2020

Whether it’s an analyst doing reports or a data scientist applying machine learning methods to the data, they’re usually viewing it in aggregate from a traditional database, and typically don’t get to interact with it in its natural and most useful form—real-time. Click To Tweet.

Analytics 47

Analytics Artificial Inteligence Sport eBook 47

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. We list our methodologies at the end of the list. The Analyst One Top Technologies List. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Kentik

MAY 10, 2017

The Shift to Turn-Key Big Data Intelligence (InsideBigData) It’s still early innings for big data, according to this article penned by Kentik’s Alex Henthorn-Iwane. HSBC adopts cloud-first strategy to solving big data business problems (ComputerWeekly) Managing data is a core competency for international banking organization HSBC.

Internet 40

Internet Network Big Data Technical Review 40

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

Pharmaceuticals 328

Pharmaceuticals Business Intelligence Technical Review Government 328

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 114

Government Artificial Inteligence Machine Learning Data 114

Strategy Driven

MAY 26, 2021

However, where AI is different is in its machine learning capabilities. What is Machine Learning? What is machine learning ? Well, machine learning is the concept of an AI developing its own repeatable output based on the data analysis from repeated input. Common AI and Machine Learning Tools.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Tools Azure 42

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. That figure spans organizations using Snowplow’s open source platform as well as its fully managed product.)

Data 187

Data Analytics Business Intelligence Google Cloud 187

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. She started her own startup (Cubicus) in 2013. Twitter: [link] Linkedin: [link].

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Datavail

AUGUST 6, 2019

The future growth of deep learning holds many exciting possibilities for businesses. Deep learning is a type of machine learning where artificial neural networks mimic the structure and learning processes of the human brain. What Does Deep Learning Mean for Your Business?

Machine Learning 20

Machine Learning Artificial Inteligence Weak Development Team Open Source 20

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

CTOvision

OCTOBER 2, 2013

You can be anyone—from a person like me who is just learning, to someone who has a PhD in machine learning. Business Analyst. Business Intelligence Analyst / BI Director. Business Systems Director. is program chair for Strata and the O’Reilly Open Source Convention. Stanford University.

Big Data 73

Big Data CTO Coach Conference Media 73

Apiumhub

APRIL 27, 2021

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. It is similar to the notion of co-occurrence in machine learning, in which the likelihood of one data-driven event is indicated by the presence of another.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. When we talk about traditional analytics, we mean business intelligence (BI) methods and technical infrastructure. BI is a practice of supporting data-driven business decision-making.

Analytics 20

Analytics Data IoT Analysis 20

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

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. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

O'Reilly Media - Data

MAY 3, 2018

Business intelligence and analytics. There are already systems for doing BI on sensitive data using hardware enclaves , and there are some initial systems that let you query or work with encrypted data (a friend recently showed me HElib , an open source, fast implementation of homomorphic encryption ). Machine learning.

Analytics 127

Analytics Artificial Inteligence Data Machine Learning 127

O'Reilly Media - Ideas

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools.

Data 114

Data Artificial Inteligence Machine Learning Hardware 114

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

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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 ). Read why the future of data lakehouses is open.

Data 83

Data Analytics Machine Learning Artificial Inteligence 83

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 110

Data Open Source Government Analytics 110

CTOvision

JULY 9, 2014

Many organizations have purpose-built solutions for asking business intelligence questions, providing disaster recovery/backup, etc., This is essentially the art of making data actionable, either by a user or a machine. Hadoop continues to mature as a widely supported open source solution nearing its ten year anniversary.

Big Data 114

Big Data Data CTO Fractional CTO 114

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. 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.

Weak Development Team 131

Weak Development Team Data Technical Review Survey 131

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. Source: Qubole. Data engineering in 14 minutes. ELT vs ETL.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

DECEMBER 14, 2020

It’s a free open-source RDBMS that supports both SQL and JSON querying as well as the most widely used programming languages such as Java, Python, C/C+, etc. One of the most popular open-source RDBMSs that is fast and reliable. Apache Kylin is one of the most popular open-source OLAP systems. Apache Hadoop.

Data 93

Data Artificial Inteligence Storage Analytics 93

Altexsoft

FEBRUARY 10, 2021

Another representative of Ops family — MLOps — merges operations with machine learning. It may prepare quality datasets and features for machine learning algorithms, but doesn’t offer solutions for training ML models and running them in production. DataOps vs MLOps. What MLOps has in common with DataOps.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 14, 2022

Docker is an open-source containerization software platform: It is used to create, deploy and manage applications in virtualized containers. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. Qlik AutoML — a no-code automated machine learning platform — is a readily available integration with no requirements.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59