CIO

SEPTEMBER 1, 2022

According to a 2021 Gartner research report, hiring senior data scientists is “very difficult,” and even finding junior-level data science talent is challenging. Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. Free them up for impact.

Data 246

Data Machine Learning Artificial Inteligence Training 246

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. More time for development of new models.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

TIBCO - Connected Intelligence

NOVEMBER 24, 2020

According to IDC’s 2019 Data Integration and Integrity End User Survey, “25% of analyst time is spent searching for data.” … To Data, Data Where We Can Find It. And with TIBCO Data Virtualization you can be sure your data is business-friendly and performant. .

Data 26

Data How To Analytics Survey 26

O'Reilly Media - Ideas

NOVEMBER 13, 2018

We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Classification parity means that one or more of the standard performance measures (e.g., Alon Kaufman on “Machine learning on encrypted data”.

Machine Learning 91

Machine Learning Artificial Inteligence Software Review Conference 91

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

O'Reilly Media - Ideas

JULY 28, 2020

Qualitative experiments, including research surveys and sociological studies, can be very useful here. For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way. Deployment.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Existek

SEPTEMBER 28, 2023

Using prepared data, AI software developers can implement techniques to evaluate and optimize model performance. It can often involve feature engineering to support relevant functionality. Besides, developers can be offered extra bonuses or equity if the project’s success is tied to the candidate’s performance.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 76

Cloud Data Analytics Machine Learning 76

Altexsoft

JUNE 6, 2019

Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. The Federal Deposit Insurance Corporation in their 2017 survey estimated that 6.5 The use of ML-powered analytics solutions can help businesses forecast inventory demand with high accuracy.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

TechCrunch

AUGUST 16, 2022

A separate survey from Flexera found that optimizing the existing use of cloud services is a top initiative at 59% of companies — cost being the main motivation. . Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS. .

Resources 175

Resources Cloud AWS Engineering 175

Altexsoft

OCTOBER 3, 2019

performing and high?potential potential talent is becoming much more “efficient” in many firms, top talent is becoming simultaneously more expensive and more easily lost to competitors,” stresses professor of workforce analytics Mark Huselid in The science and practice of workforce analytics: Introduction to the HRM special issue. .

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 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

O'Reilly Media - Ideas

MARCH 18, 2020

Last year, when we felt interest in artificial intelligence (AI) was approaching a fever pitch, we created a survey to ask about AI adoption. When we analyzed the results , we determined the AI space was in a state of rapid change, so we eagerly commissioned a follow-up survey to help find out where AI stands right now.

Enterprise 131

Enterprise Survey Technical Review Weak Development Team 131

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 84

Cloud Analytics AWS Engineering 84

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. Source: Python Developers Survey 2020 Results. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems. 2021 Stackoverflow survey of the most popular technologies.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

MARCH 2, 2023

Data governance creates a consistent view of data, establishing a common terminology while allowing individual business units to retain appropriate flexibility. Improved quality of data. Data governance creates a plan that ensures data accuracy, completeness, and consistency. sales specialists).

Government 52

Government Tools Data Weak Development Team 52

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

NOVEMBER 22, 2019

Key performance metrics (KPIs) — such as Average Daily Rate (average price per room), occupancy rate (the percentage of available rooms), Revenue per Available Room (RevPAR). Previously, the only way data could get into the PMS was the manual input performed by a front-desk manager. metasearch engines.

Hotels 18

Hotels Data Technical Review Systems Review 18

O'Reilly Media - Ideas

MARCH 1, 2023

Distributed systems require designing software that can run effectively in these environments: software that’s reliable, that stays up even when some servers or networks go down, and where there are as few performance bottlenecks as possible. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 134

Trends Technical Review Technology Software Review 134

CIO

NOVEMBER 7, 2023

Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems. Companies should also incorporate data discovery, Higginson says.

Data 355

Data Artificial Inteligence Architecture Analytics 355

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms. Neural architecture search.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Cloudera

OCTOBER 13, 2021

For others, petabyte scale, need for control and efficiency, market regulation and data location prevents them from following suit. These companies have instead opted to leverage their existing data centre investment. Straightforward workload isolation drives predictable performance and elimination of missed SLAs and improved SLOs.

Data Center 92

Data Center Cloud Data How To 92

Altexsoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. This means that companies don’t necessarily need a large data engineering team. Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Datavail

SEPTEMBER 8, 2022

The sources in your data integration pipeline may include a wide variety of files, databases, websites, and applications—both internal and external. According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes.

Data 40

Data Nonprofit Quality Assurance Education 40