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 50

Course Training Artificial Inteligence Software Review 50

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities. In this blog you may find key findings and explanations.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

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

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

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.

Artificial Inteligence 58

Artificial Inteligence Trends Industry Artificial Intelligence 58

Cloudera

JANUARY 13, 2021

To drive the vision of becoming a data-enabled organisation, UOB developed the EDAG (Enterprise Data Architecture and Governance) platform. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Banking 56

Banking Artificial Inteligence Data Artificial Intelligence 56

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. . Trend #3: Cloud Considerations.

Insurance 105

Insurance Trends Data Artificial Inteligence 105

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . Protecting their data and business while allowing more self-serve and access. If you are intrigued to start the journey of transforming and accelerating your data strategy to a more self-serve driven and flexible modern data cloud architecture, then your data journey starts here.

Data 97

Data Virtualization Banking Data Engineering 97

CIO

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Innovation 208

Innovation Technical Review Disaster Recovery Budget 208

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CIO

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. This dual-system architecture requires continuous engineering to ETL data between the two platforms. Learn more at [link]. . Intel® Technologies Move Analytics Forward.

Artificial Inteligence 256

Artificial Inteligence Data Artificial Intelligence Analytics 256

Perficient

FEBRUARY 22, 2024

This concept plays a key role in a data fabric architecture which aims at isolating the complexity of data management and minimizing disruption for data consumers. Another value-add for the business is that they can access new data sources quicker and in real-time now that the semantic layer requires no data movement or replication.

Virtualization 52

Virtualization Enterprise Data Analytics 52

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. I also discussed best practices for developing and deploying data-driven solutions in the cloud, including leveraging automation and advanced analytics tools.

Database Administration 52

Database Administration Data Artificial Inteligence 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. Develop business-specific analytics platform.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Data warehouse architecture. The architecture of a data warehouse is a system defining how data is presented and processed within a repository. Traditional data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. In its first six months of operation, OVO UnCover has proven to be 7.9

Data 118

Data Analytics Banking Big Data 118

Infinidat

MARCH 10, 2021

When paired with the accelerated compute so often deployed with AI/ML-driven workloads, traditional storage architectures are severely challenged to keep the processors fed with data and operating efficiently – let alone meeting response time requirements.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

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. growth over 2021.

Trends 132

Trends Technical Review Technology Software Review 132

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. Basic Architecture for Real-Time Data Warehousing. These include stream processing/analytics, batch processing, tiered storage (i.e.

Data 91

Data Analytics Storage Big Data 91

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 “microservices” was at No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

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. Snowflake architecture and capabilities.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally.

Data 77

Data Analytics Government Technical Review 77

Capgemini

APRIL 3, 2024

In 2018, OpenAI created a model inspired by Transformer architecture (the decoder stack in particular). These two models benefited from an important breakthrough: meta-learning models. Meta-learning is a paradigm of Machine Learning (ML) in which the model “learns how to learn.”

Artificial Inteligence 52

Artificial Inteligence ChatGPT Generative AI Artificial Intelligence 52

O'Reilly Media - Ideas

NOVEMBER 16, 2021

In the past decade, the growth in low-code and no-code solutions—promising that anyone can create simple computer programs using templates—has become a multi-billion dollar industry that touches everything from data and business analytics to application building and automation. Everything Is Low-Code. Low-code: what does it even mean?

Programming 140

Programming Weak Development Team Software Development Artificial Inteligence 140