Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Analytics 95

Analytics Artificial Inteligence Machine Learning Telecommunications 95

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

Altexsoft

JANUARY 14, 2021

Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. Modern cloud solutions, on the other hand, cover the needs of high performance, scalability, and advanced data management and analytics. Scalability opportunities. Scalability.

Backup 115

Backup Azure Software Review Architecture 115

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. Doughty also discussed how automation and cloud adoption are changing traditional DBA duties as well as providing a platform for greater efficiency and scalability.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 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 52

Course Training Artificial Inteligence Software Review 52

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. Seamless integration with external machine learning systems. Real-time data tracking and analytics.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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. Pentaho is building the future of business analytics. We list our methodologies at the end of the list. 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. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics. Flexible, scalable query engine for EDW.

Data 102

Data Analytics Storage Big Data 102

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . ML workspaces are fully containerized with Kubernetes, enabling easy, self-service set up of new projects with access to granular data and a scalable ML framework that gives him access to both CPU and GPUs. The SDX layer is configured and the users have appropriate access.

Data 98

Data Virtualization Banking Data Engineering 98

Sunflower Lab

JULY 5, 2023

.” – Saul Berman In this fast-paced digital world, more and more businesses are turning towards Intelligent Process Automation to complete different business operations. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

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. Only with such a holistic approach to data, you can build a prosperous business.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

AWS Machine Learning - AI

JULY 25, 2024

Satveer’s deep understanding of generative AI technologies enables him to design scalable, secure, and responsible applications that unlock new business opportunities and drive tangible value. He is passionate about working with ISV customers to design, deploy, and scale their applications in the cloud to derive business value.

Azure 100

Azure Artificial Inteligence Authentication Generative AI 100

Newgen Software

JANUARY 2, 2024

As a next step, BPM platform introduces the heavy artillery in the form of digital tools ranging from business analytics software to web forms, to data mining to collaborative work tools that will facilitate successful completion of business processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Existek

NOVEMBER 21, 2023

WHAT IS THE DIFFERENCE BETWEEN AI AND TRADITIONAL ANALYTICS Along with discussing the topic of AI in analytics, it might be helpful to draw a comparison with traditional analytics. The first thing to emphasize is that any analytics is about building the process to discover patterns in data for better decision-making.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. Business (13%), security (8%), and web and mobile (6%) come next. Go” and “Golang” are distinct search strings, but they’re clearly the same topic.

Trends 134

Trends Technical Review Technology Software Review 134

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Picture source: Stellar. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Leveraging his expertise in retail and strategy, he is passionate about solving customer problems through scalable, innovative AI and ML solutions. In his spare time, he enjoys traveling and sports.

Generative AI 115

Generative AI Artificial Inteligence Fractional CTO Guidelines 115

Cloudera

FEBRUARY 18, 2021

As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . It’s fast, scalable and increasingly safe for businesses and customers alike.

Insurance 108

Insurance Trends Data Artificial Inteligence 108

Cloudera

FEBRUARY 24, 2021

Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning. Fraud prevention is another area where the financial services industry will benefit from leveraging real-time data and machine learning.

Trends 62

Trends Artificial Inteligence Industry Artificial Intelligence 62

Codegiant

NOVEMBER 9, 2020

Features Scalable API testing tool. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Pros Very useful software for training and deploying machine learning models.

Software Review 64

Software Review Weak Development Team Tools Development 64

Codegiant

NOVEMBER 9, 2020

Features Scalable API testing tool. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Pros Very useful software for training and deploying machine learning models.

Software Review 52

Software Review Weak Development Team Tools Development 52

AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. However, a manual process is time-consuming and not scalable. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.

Artificial Inteligence 111

Artificial Inteligence Generative AI Energy Knowledge Base 111

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 83

Trends UI/UX Machine Learning Artificial Inteligence 83

Sunflower Lab

APRIL 2, 2024

Use Case: Demand Forecasting for Manufacturing Business Scenario: A manufacturing company needs to predict demand for its products to optimize production and inventory management. Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 84

Data Analytics Government Technical Review 84