Altexsoft

FEBRUARY 8, 2021

Reducing shrinkage becomes possible when all the internal and external data is combined in one system to be thoroughly analyzed. Predictive analytics helps discover and prevent losses caused by theft, shoplifting, poor management, and other unapparent reasons. Analytics in logistics and transportation.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

O'Reilly Media - Ideas

JUNE 5, 2019

Reinforcement Learning: Building Recommender Systems , August 16. Business Applications of Blockchain , July 17. Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 66

Course Training Artificial Inteligence Software Review 66

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Build an end-to-end extractive question answering system with this AMP that features applications for IR-QA, model exploration, and data visualization. .

Machine Learning 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer? Create a data pipeline.

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. No support for batch data. Connection layer.

Virtualization 69

Virtualization Tools Data Architecture 69

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

Cloudera

NOVEMBER 2, 2020

The factors driving this trend are part technical, part business, and part cultural. On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system. Data processing and analytics drive their entire business. Data Hub – .

Data 97

Data Analytics Storage Big Data 97

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

O'Reilly Media - Ideas

JANUARY 14, 2025

Its a big step toward a future full of intelligent agents: linked AI systems that cooperate to solve complex problems. Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale.

Trends 131

Trends Technology Security Artificial Inteligence 131

TechCrunch

APRIL 6, 2022

based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

O'Reilly Media - Ideas

MARCH 1, 2023

Two smaller categories that are closely related to coding practices also showed substantial increases: usage of content about Git (a distributed version control system and source code repository) was up 21%, and QA and testing was up 78%. As our systems are growing ever larger, object-oriented programming’s importance seems secure.

Trends 144

Trends Technical Review Technology Software Review 144

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.

Conference 10

Conference Data Data Engineering Big Data 10

CIO

APRIL 8, 2025

Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality. Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153

AWS Machine Learning - AI

APRIL 2, 2025

Traditionally, answering these queries required the expertise of business intelligence specialists and data engineers, often resulting in time-consuming processes and potential bottlenecks. In the Execute stage, the system programmatically carries out the plan by sequentially executing each function call.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Analytics AWS 107