Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CTOvision

AUGUST 3, 2015

Al is a retired Army Intelligence Officer and US Special Operations Innovation Officer who has spent a career working at the intersection of military ops, geography, technology and social media. commercial business intelligence firms. Major League Soccer. the UK government. academic universities. US Federal Agencies.

Big Data 103

Big Data Media Social Fractional CTO 103

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

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CTOvision

SEPTEMBER 17, 2014

SOCIAL IMPACT. Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Big Data 105

Big Data Fractional CTO Government CTO 105

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Big Data Technologies and Architectures.

Analytics 52

Analytics Trends Data Big Data 52

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Carla Gentry.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

FEBRUARY 3, 2020

This is only one but a very important parameter that proves the power of big data in modern business operations. The only way to exploit huge information bases is to use data analytics platforms. Data Analytics Definition, Stats, and Benefits. Data Analytics Definition, Stats, and Benefits.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

O'Reilly Media - Data

MAY 3, 2018

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. Which brings me to the main topic of this presentation: how do we build analytic services and products in an age when data privacy has emerged as an important issue?

Analytics 131

Analytics Artificial Inteligence Data Machine Learning 131

Exadel

AUGUST 26, 2020

Data Analytics for Better Business Intelligence. Data is king in the modern business world. Thanks to technology, collecting data from just about any aspect of a business is possible — including tracking customers’ activity, desires and frustrations while using a product or service.

Analytics 52

Analytics Data How To Machine Learning 52

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

Big Data 74

Big Data Data Analytics Innovation 74

CTOvision

DECEMBER 16, 2014

Widely know in enterprise technology circles for their advanced analytics, business intelligence and enterprise data management capabilities, SAS is continuing to invest in innovation, partnering and mission focused application development. Big Data Solutions (with Hadoop). Threat Intelligence.

Big Data 84

Big Data Business Intelligence Analytics Technical Review 84

Altexsoft

AUGUST 31, 2020

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics.

Healthcare 72

Healthcare Analytics Examples Data 72

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

Business Intelligence 155

Business Intelligence Small Business Weak Development Team Analytics 155

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. Procurement is a set of operations related to finding, acquiring, and paying for goods and supplies for business needs. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

CTOvision

SEPTEMBER 8, 2014

SOCIAL IMPACT. Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Traditional data warehouse platform architecture. Data lake architecture example. Poor data quality, reliability, and integrity.

Architecture 52

Architecture Data Storage Machine Learning 52

Dion Hinchcliffe's Web 2.0 Blog

AUGUST 28, 2011

All in all, it was a good week for the exploration of big ideas in social business. Says Sameer: One thing enterprises have learned is that siloed, standalone consumer Web-style microblogging or social networking tools rarely work well inside an enterprise. Social Business community.

Social 54

Social Enterprise Research Big Data 54

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. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

N2Growth Blog

JANUARY 23, 2018

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

Innovation 84

Innovation Strategy Big Data Advertising 84

Apiumhub

APRIL 27, 2021

However, making sense of the huge volumes of structured and unstructured data to implement organization-wide improvements can be extremely challenging because of the huge amount of information. What is Data Mining. Data cleaning and preparation Data cleaning and preparation is a vital part of the data mining process.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Unsuitable for on-demand or real-time analytics. Data Integration for Marketing.

Company 78

Company Data Technical Review Analysis 78

Altexsoft

DECEMBER 14, 2020

As long as data fits within the structure of RDBMSs, it allows one to easily search for particular information and single out the relationships between its pieces. Such data can only be used for its intended purpose. On top of that, structured data doesn’t normally require much storage space. Unstructured data examples.

Data 93

Data Artificial Inteligence Storage Analytics 93

Dion Hinchcliffe's Web 2.0 Blog

JANUARY 11, 2012

While 2011 was a busy year, I’m expecting 2012 to be a breakout year for a number of key subject areas that I work with closely. The run up of social business over the last five years has been phenomenal but there’s a general sense now that it’s about to go truly mainstream.

Social 61

Social Conference Media Enterprise 61

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Cystellar’s platform provides predictive analytics to sectors such as insurtech, particularly helping insurers and their clients avoid damaging events. Axieme is a first social insurance startup. ThreatInformer.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

OCTOBER 2, 2020

Specialist responsible for the area: data architect, data engineer, ETL developer. Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. There are two main approaches to data integration.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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. Data sources component in a modern data stack. Data storage component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

JANUARY 24, 2020

For now, it offers over 20 Majors and Degree programs, such as: Analytics ; Business Administration – Management of Technology (MBA) ; Computational Media (BS ; Computational Science and Engineering (MS) ; Computer Engineering (BS) ; Computer Science (BS) ; Cybersecurity (MS) ; and many more. Business Intelligence.

Education 99

Education Analytics Recruiting Programming 99

Altexsoft

JUNE 14, 2021

Data obtained from social media activity, fitness trackers, GPS, and other tech can help you serve customers better. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Customer data is heavily regulated.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Cloudera

MAY 16, 2018

Trade surveillance in the financial services industry must respond to their creativity and the complexities of a global trading network, the myriad of digital and physical communications, as well as social media-savvy players that develop sophisticated schemes, often converging on different forms of financial crime.

Analytics 42

Analytics Groups Enterprise Data 42