CIO

MARCH 11, 2025

Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. It orchestrates AI models alongside human expertise and analytics to help businesses harness AI without getting slowed down by technical complexities, Kapoor said.

Artificial Inteligence 162

Artificial Inteligence Enterprise Artificial Intelligence Insurance 162

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

Kaseya

MAY 13, 2021

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Xebia

OCTOBER 30, 2024

In September, we organized the 11th edition of the Analytics Engineering Meetup. Jan Boerlage and Aletta Tordai showcased Sligro’s digital transformation through a scalable cloud-based data platform, illustrating the impact of cloud solutions on business agility and decision-making. You can check it out here.

Data 130

Data Artificial Inteligence Analytics Insurance 130

Datavail

AUGUST 12, 2021

More and more organizations are moving their analytics to the cloud—and Oracle is one of the most popular destinations. In a November 2020 ranking by Cloud Wars, Oracle was the second fastest-growing cloud vendor with an estimated quarterly revenue growth of 33 percent, behind only Google Cloud.

Analytics 98

Analytics Cloud Company Backup 98

CIO

OCTOBER 1, 2022

In addition, as organizations are striving to deliver a richer application experience through analytics, they sometimes need to use complex extract, transform, and load (ETL) operations to move the operational data to a separate analytical database. It must be scalable, resilient, and mission critical with auto scaling.

Google Cloud 145

Google Cloud Analytics Mobile Cloud 145

Capgemini

JANUARY 22, 2025

Reducing financial risks of climate change with advanced data and modeling Franco Amalfi 22 Jan 2025 Facebook Twitter Linkedin Capgemini Business for Planet Modeling uses the intelligence of Google Cloud capabilities to assess the impact of climate change on corporate financials and accelerate sustainable growth. trillion and $3.1

Google Cloud 52

Google Cloud Data Sustainability Artificial Inteligence 52

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Machine Learning 187

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. The NGFW policy engine also provides detailed telemetry from the service mesh for forensics and analytics.

Google Cloud 62

Google Cloud Network Cloud Load Balancer 62

CIO

DECEMBER 19, 2024

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

The Crazy Programmer

SEPTEMBER 25, 2023

Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. It offers the most intuitive user interface & scalability choices.

Serverless 180

Serverless AWS Google Cloud Azure 180

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

Perficient

OCTOBER 14, 2024

This is where Google Cloud’s top-tier API management product, Apigee, comes into play. Analytics and Monitoring You can access analytics and monitoring capabilities with Apigee, which offers insights into API usage and performance. Sign Up for Apigee Visit the Google Cloud website and sign up for an Apigee account.

Google Cloud 52

Google Cloud Authentication Analytics Policies 52

Perficient

AUGUST 28, 2024

Google Cloud Platform (GCP), offered by Google, provides a broad spectrum of cloud computing solutions. It includes modular services across computing, data storage, analytics, and machine learning, supported by a suite of management tools. The Basics of Google Cloud Pub/Sub 1.

Google Cloud 52

Google Cloud Cloud Machine Learning Artificial Inteligence 52

Apps Associates

AUGUST 26, 2021

Boston Dynamics turned to Apps Associates – a Snowflake Select partner with over 20 years of business experience – to help design, build and implement a Snowflake-based Internet of Things (IoT) analytics solution. Data from the server is then transferred to Google Cloud Storage for temporary staging before it is ingested into Snowflake.

Google Cloud 52

Google Cloud IoT Analytics Cloud 52

Capgemini

OCTOBER 7, 2024

Unlocking data analytics: eight strategies for effective cloud data design and management for Google Cloud Deepak Kumar Arya 30 Sep 2024 Facebook Twitter Linkedin Learnings and best practices based on successful Google Analytics data platform implementations Effectively leveraging enterprise data is one of the best ways to grow a business.

Google Cloud 52

Google Cloud Analytics Cloud Data 52

CIO

FEBRUARY 20, 2024

While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Much of that is because enterprises tend to use the largest cloud platforms available — with AWS, Microsoft Azure, and Google Cloud Platform topping that list.

Enterprise 196

Enterprise Strategy Cloud Technical Review 196

CIO

DECEMBER 22, 2023

Cloud software engineer Cloud software engineers are tasked with developing and maintaining software applications that run on cloud platforms, ensuring they are built to be scalable, reliable, and agile. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Cloud 195

Cloud Company Disaster Recovery Software Engineering 195

CIO

JANUARY 6, 2023

These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions. Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems.

LAN 215

LAN How To Systems Administration Software Engineering 215

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Backed by the public cloud leader, this IoT platform has users across 190 countries.

IoT 141

IoT Azure AWS Transportation 141

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. However, each cloud provider offers distinct advantages for AI workloads, making a multi-cloud strategy vital. It is available in data centers, colocation facilities, and through our public cloud partners.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

Artificial Inteligence 179

Artificial Inteligence Artificial Intelligence Analysis Survey 179

CIO

FEBRUARY 16, 2024

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. Aside from its use of Azure and Cisco Cloud, for example, ADP has leveraged AWS, GCP, and Snowflake for analytics, as well as myriad AI platforms. An early partner of Amazon, the Roseburg, N.J.-based

Cloud 174

Cloud Generative AI AWS Machine Learning 174

Capgemini

AUGUST 11, 2024

Beyond migration – The power of Google Cloud for innovation Capgemini 23 Jul 2024 Facebook Twitter Linkedin Migrating to the cloud isn’t just a matter of upgrading to the latest technology. But migrating applications to a cloud platform is only the first step in leveraging new technology for innovation.

Google Cloud 52

Google Cloud Innovation Cloud Serverless 52

Perficient

MARCH 5, 2024

In high-velocity data environments where time-sensitive decisions are made, Change-Data-Capture is an excellent fit to achieve low-latency, reliable, and scalable data replication. Change-Data-Capture is also ideal for zero-downtime migrations to the cloud.

Strategy 115

Strategy Data Google Cloud Analytics 115

CIO

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. This approach offers several benefits, including scalability, cost-efficiency, and reduced maintenance overhead, as the cloud provider handles the infrastructure management and scaling.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

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 The fourth industrial revolution or Industry 4.0 The concept of Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Palo Alto Networks

NOVEMBER 12, 2019

With Google Cloud’s native security toolkit and deep integrations with Palo Alto Networks cloud security products such as the VM-Series , Prisma Cloud , and Prisma SaaS , you can define a consistent security posture in Google Cloud and on-premises. Visit the Google Cloud booth (#300).

Google Cloud 8

Google Cloud Cloud Firewall Load Balancer 8

CTOvision

OCTOBER 1, 2015

Tamr has opened a public Beta program for an enterprise metadata catalog tool that makes it easy for people to find, use and collaborate in organizing high-quality data sets for analytics. Traditional top-down methods of cataloging data are fragmented, arduous and not scalable to organizations’ data variety or analytic demands.

Programming 102

Programming Google Cloud Analytics Enterprise 102

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. The NGFW policy engine also provides detailed telemetry from the service mesh for forensics and analytics.

Google Cloud 40

Google Cloud Network Cloud Load Balancer 40

Mobilunity

JANUARY 28, 2025

As cloud computing continues to reinvent business operations, effective cloud cost management has become a backbone of profitability and scalability. As Statista shows , 65% of companies now prioritize cost efficiency and savings as their primary metrics for assessing cloud progress. Each cloud platform (e.g.,

Budget 40

Budget Cloud Tools Weak Development Team 40

Mobilunity

MAY 2, 2025

To identify these anomalies, companies rely on specialized monitoring and analytics tools that compare real-time spending against historical data and predefined thresholds. Looking for professional Google Cloud developers? This data-driven approach makes it possible to detect outliers and isolate the root causes quickly.

Cloud 40

Cloud Google Cloud Systems Review Budget 40

Perficient

JUNE 27, 2024

As of this writing, and as a Premier Partner with Google, Perficient currently holds two specializations: Data and Analytics , and Infrastructure. System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. If you are reading this and have needs in either area, let us know.

Google Cloud 52

Google Cloud Applications Cloud Automotive 52