Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Perficient

MARCH 19, 2024

BigQuery maximizes flexibility by separating the compute engine that analyzes your data from your storage choices. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. There is no need to extract data from BigQuery and there is no need to keep updating in-memory data.

Data 111

Data Google Cloud Analytics Serverless 111

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Against this backdrop there are five trends for 2019 that I would like to call out. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111

Analytics Open Source Government Machine Learning 111

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

Xicom

JANUARY 4, 2023

As technology advances, so do trends and practices within the industry. For Android app developers, keeping up with the latest trends can be a daunting task. In this blog post, we will explore the top 10 Android app development trends that are likely to dominate in 2023. Top 10 Android app development trends.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

CIO

MAY 16, 2023

With media outlets racing to get exclusives out the door on the latest “big thing,” sifting through the excitement to find the bigger picture is challenging. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Innovation 263

Innovation Blockchain Artificial Intelligence Artificial Inteligence 263

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Yes the data lake was used as a staging ground for feeds into the data warehouse and, yes, offloading long running ETL to Hadoop clusters was an early favorite use case.

Cloud 98

Cloud Data Azure Analytics 98

Kentik

APRIL 23, 2018

Predictive analytics uses historical data to predict future events. In the context of IT practices, the analytics are gaining in interest, in part, due to advances in supporting technologies, such as big data, machine learning, and artificial intelligence. Big Data and Cloud-Scale Resources to the Rescue.

Analytics 40

Analytics Artificial Inteligence Network Performance 40

Trigent

FEBRUARY 15, 2023

Big Data / Fast Data – Do I need both? Big data is the vast amounts of structured and unstructured data generated from customer interactions, IoT devices, social media, and more. Big data insights are used to identify market trends, determine value propositions, and influence product design.

Data 52

Data Insurance Technical Review Big Data 52

OTS Solutions

DECEMBER 22, 2023

Make better decisions: Companies can benefit from big data by putting analytics and data at the core of their digital transformation if the business does not. With the right mix of analytical tools, this data may be translated into crucial business insights, enabling you to make choices more quickly and more effectively.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

CTOvision

AUGUST 25, 2014

Leading organizations are changing the way they think about data with an enterprise data hub and driving everyday decisions and actions, from fraud prevention to insider threat analysis to exploratory analytics, with new information and new insights. The following is from Cloudera: Bring More Analysis to Your Data.

Analysis 98

Analysis Architecture Data Big Data 98

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. There was also a real risk of a HIPAA data incident occurring due to limited controls around PHI and PII data, given the data sprawl mentioned.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Strategy Driven

APRIL 29, 2023

Use Big Data Analytics (BDA) Big data analytics (BDA) involves analyzing large and complex data sets to gain insights and make data-driven decisions. BDA can help companies identify patterns and trends in their data, providing valuable insights into their prospects.

Data 41

Data Weak Development Team Real Estate Storage 41

Dell EMC

JUNE 16, 2020

Data determines the winners and losers in the digital age If we examine the top trends many organizations are focused on today—harnessing big data and analytics, embracing the Internet of Things, investing in artificial intelligence—they all have a common foundation.

Artificial Intelligence 81

Artificial Intelligence Artificial Inteligence Data Big Data 81

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. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Altexsoft

AUGUST 4, 2020

Eighty percent of financial services executives report the success of their big data investments, but the value of big data in a variety of industries transcends the financial. In healthcare, for instance, big data can play a real role in saving lives through disease prevention. A World of Big Data Tools.

Artificial Inteligence 75

Artificial Inteligence Big Data Technical Review Healthcare 75

Dell EMC

JULY 18, 2019

The new Dell EMC DSS 8440 server accelerates machine learning and other compute-intensive workloads with the power of up to 10 GPUs and high-speed I/O with local storage. As high-performance computing, data analytics and artificial intelligence converge, the trend toward GPU-accelerated computing is shifting into high gear.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Artificial Intelligence Storage 76

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Data disappears.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Openxcell

SEPTEMBER 18, 2023

Big data Telemedicine apps generate and collect huge amounts of patient data, including medical records, images, and real-time monitoring. The use of Artificial Intelligence can provide accurate diagnosis and treatment recommendations based on large amounts of patient data.

UI/UX 52

UI/UX Technical Review Development Software Review 52

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. User, device and provider data from OSS/BSS and CRM servers. Security threat intelligence feeds.

Performance 40

Performance Cloud Big Data KPI 40

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

CTOvision

OCTOBER 6, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. RedOwl Analytics – Tackles the insider threat - malicious, compromised, or sloppy users. Sqrrl Data, Inc. –

Company 115

Company Big Data Government Innovation 115

OTS Solutions

MAY 2, 2023

Digital Transformation Trends Digital transformation is essential for businesses to survive and succeed in today’s environment. It enables businesses to become more agile and responsive to market trends and customer needs. Now, here comes the technologies that will help you to track the insights from your data.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Trigent

SEPTEMBER 20, 2023

While the potential of UBI is undisputed, modern InsurTechs have too much on their plates, with challenges and obstacles about regulatory compliance, customer data privacy, system integration, user experience, and data analytics being their top concerns.

Insurance 52

Insurance Policies Technical Review Systems Review 52

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Being a market leader, AWS continues bringing new trends and approaches. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus.

Azure 52

Azure AWS Cloud How To 52

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., You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Trigent

MARCH 24, 2021

Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

Artificial intelligence, machine learning, big data have all been spoken about in great length and form the very backbone of Artificial Intelligence for IT operations or AIOps. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52