Sunflower Lab

APRIL 2, 2024

Power BI, a key business analytics service, leads a revolution in how companies use AI and machine learning to future-proof their operations. It’s a powerful business analytics service by Microsoft that goes beyond traditional BI. Think of Azure Machine Learning as a powerful AI workbench.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Company Generative AI 40

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Existek

NOVEMBER 21, 2023

So, what is AI analytics, and why is it so popular these days? It refers to the use of artificial intelligence technologies to analyze and interpret complex data sets. Traditional analytics involve extracting insights from data using statistical methods and predefined rules.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 108

Data Machine Learning Artificial Inteligence Automotive 108

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. AMPs are a revolutionary way to accelerate your ML initiatives.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 87

Analytics Machine Learning Artificial Inteligence Telecommunications 87

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 68

Course Training Artificial Inteligence Software Review 68

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. Firstly, it’s essential to identify the key metrics and trends highlighted by the predictive models.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Learn more about the Pentaho Data Science Pack.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 51

Course Training Artificial Inteligence Software Review 51

O'Reilly Media - Ideas

JANUARY 5, 2021

Her contributions include the papers Datasheets for Datasets , Model Cards for Model Reporting , Gender Shades (with Joy Buolamwini), and founding the group Black in AI. This is a severe blow to Google’s commitment to ethics in artificial intelligence. What could be more natural than integration? We were wrong.

Trends 101

Trends Artificial Inteligence Linux Systems Review 101

Infinidat

MARCH 10, 2021

While this approach may have worked when business analytics were a more batch-oriented operation, newer analytics workloads need rapid access to more data that can be kept in the traditional performance tiers and moving data between tiers lengthens the time to better, more informed decisions.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Apiumhub

APRIL 6, 2021

Towards Data Science is helping build an ecosystem of content and welcomes insightful people to share their take on several of innovations in the form of tutorials, tips, analysis, and hands-on experiences, to the readers. You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

O'Reilly Media - Ideas

JANUARY 15, 2019

Companies have spent the last few years building processes and infrastructure to unlock disparate data sources in order to improve analytics on their most mission-critical analysis, whether it is business analytics, recommenders and personalization, forecasting, or anomaly detection and monitoring.

Trends 85

Trends UI/UX Machine Learning Artificial Inteligence 85

The Accidental Successful CIO

MAY 12, 2021

Understanding Business Intelligence vs. Business Analytics. Business intelligence tools provide insights into the current state of the business or organization: where are sales prospects in the pipeline today? It also gets to the heart of the question of who business intelligence is designed for.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

CTOvision

JUNE 17, 2014

We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Advanced Business Analytics, Data Mining and Predictive Modeling: 121,816 (74% growth in 12 months). Big Data and Analytics: 74,350 (100%). per 1K mbr.

Big Data 103

Big Data Analytics Groups Data 103

Strategy Driven

APRIL 14, 2020

To answer the latest challenges, risk analysis has to be active as well. More Precise Risk Models. Predominantly relying on the human workforce makes risk models way too complicated. Risk management cannot be efficiently applied to risk models that have too many factors to account for.

Analysis 47

Analysis Study Research Marketing 47

Altexsoft

FEBRUARY 3, 2020

Data Analytics Definition, Stats, and Benefits. Before we show you the best data analytics tools, we want to help you to understand why businesses need such platforms in the first place. More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025. Extensive data interpretation models.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

SEPTEMBER 6, 2018

Data science and artificial intelligence are hot media topics. An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Our clients considered working with large datasets a big data problem. Sound recognition and analysis applications (e.g.

Company 63

Company Off-The-Shelf Data Software Review 63

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. SECURITY AND GOVERNANCE LEADERSHIP.

Data 68

Data Machine Learning Artificial Inteligence Analytics 68

Hu's Place - HitachiVantara

JUNE 12, 2018

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

Altexsoft

JANUARY 26, 2022

Data scientists also sit on the side of data analysis and business logic, but this side is more sophisticated. They commonly prepare data and build machine learning (ML) models. A big chunk of their work includes helping businesses get better insights and make predictions based on data.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Cloudera

NOVEMBER 16, 2020

Besides the financial impact on an insurer’s results, society at large expects insurers to manage our collective premiums prudently including detecting and preventing fraud as much as possible. This requires a lot of data, a variety of data, and advanced analytic capabilities.

Insurance 100

Insurance Data Machine Learning Artificial Inteligence 100

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

Trends 137

Trends Technical Review Technology Software Review 137

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling, within R and JSON. Pentaho is building the future of business analytics. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. Time Series and Event Analytics Specialized RTDW. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics.

Data 94

Data Analytics Storage Big Data 94

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. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Confluent

JULY 3, 2019

Sentiment analytics and Google’s Natural Language APIs. Text processing is a part of machine learning and is continuously evolving with a huge variety of techniques and related implementations. Visual analysis in Google Data Studio. We can also use the URL manipulation functions added in KSQL 5.2

Analysis 21

Analysis Data Sport Windows 21

Cloudera

DECEMBER 17, 2020

This retailer leveraged Cloudera enterprise data management solutions that provided micro-data on shopper location enabling in-store analysis, similar to the insight gleaned from the online portion of their business.

Retail 58

Retail Apparel Analytics Enterprise 58

Altexsoft

JULY 3, 2020

The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. Machine learning allowed hotels and rental services to personalize offers and services. The adoption of, say, IoT devices gave us new ways to collect and process data.

Technical Review 76

Technical Review Technology Hotels Systems Review 76

Codegiant

NOVEMBER 9, 2020

Features Intelligent code editor which provides smart code completion, intuitive code assist, re-factoring, and real-time error validation and analysis. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Multiple programming languages are supported.

Software Review 64

Software Review Tools Weak Development Team Development 64

Codegiant

NOVEMBER 9, 2020

Features Intelligent code editor which provides smart code completion, intuitive code assist, re-factoring, and real-time error validation and analysis. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Multiple programming languages are supported.

Software Review 52

Software Review Weak Development Team Tools Development 52

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. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

SEPTEMBER 19, 2019

Formatting data according to specified requirements and standards to make it suitable for analysis. The ETL process specifies how a heterogeneous data is retrieved from disparate sources, transformed into a form suitable for the analysis, and loaded into a single destination. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13