TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CIO

JANUARY 8, 2024

To date, the carrier has migrated an estimated 98% of its 400 applications, mostly to AWS, but with some workloads on Azure and a plan for further “rebalancing” cloud providers to ensure Cathay is not locked in to any one vendor, Nair says. The cloud has helped us to be more scalable and agile.”

Airlines 298

Airlines Cloud Blockchain Generative AI 298

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. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

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. Examples of cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, etc.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

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

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%).

Budget 363

Budget Artificial Inteligence Technical Review VR 363

The Crazy Programmer

SEPTEMBER 25, 2023

It offers the most intuitive user interface & scalability choices. Features: Friendly UI and scalability options More than 25 free products Affordable, simple to use, and flexible Range of products Simple to start with user manual Try Google Cloud Amazon AWS Amazon Web Services or AWS powers the whole internet.

Serverless 180

Serverless AWS Google Cloud Azure 180

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Perficient

DECEMBER 7, 2023

These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. This means setting up systems for real-time data analysis, predictive analytics, and automated reporting.

How To 52

How To Scalability Analytics Google Cloud 52

Cloudera

OCTOBER 13, 2020

CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. Enrich – Data Engineering (Apache Spark and Apache Hive). And We Are Not Done. And that was just the first 12 months.

Cloud 90

Cloud Machine Learning Artificial Inteligence Azure 90

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake? Data warehouse vs. data lake in a nutshell.

Architecture 52

Architecture Data Storage Machine Learning 52

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. Data Processing and Analytics: Data lakes are not just about storage; they empower advanced analytics.

Data 52

Data Storage Construction Business Intelligence 52

High Scalability

JANUARY 11, 2022

Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience.

Machine Learning 133

Machine Learning Artificial Inteligence Storage Media 133

InfoBest

MARCH 28, 2023

It provides a consistent and comprehensive programming model for building web, desktop, and mobile applications.NET Technology and Its Features The.NET framework is designed to be scalable, secure, and reliable, making it well-suited for developing mission-critical applications.

Software Review 52

Software Review Machine Learning Artificial Inteligence .Net 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Perficient

MAY 23, 2023

It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks. Smart factories leverage technologies such as Industrial Internet of Things (IIoT), artificial intelligence (AI), and big data analytics to create interconnected and intelligent systems.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Agile Engine

FEBRUARY 20, 2019

Trend 2: Machine Learning is the New Black. Now that Big Data is officially a boring technology, machine learning became another buzzword hitting the spotlight. In August 2018, deep learning reached the peak of Gartner’s Hype Cycle for Emerging Technologies. Microsoft Azure. Azure Blob Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Altexsoft

FEBRUARY 11, 2023

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. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

JUNE 7, 2022

We can also do it with your preferred cloud – AWS, Azure or GCP. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions.

Data 106

Data Architecture Analytics Government 106

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. Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. Scalability. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on Azure. Cloud-Native Design Patterns.

Storage 91

Storage Azure Technical Review Database Administration 91

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. There are 175 different services available, and it also incorporates AI, machine learning, and 5G.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

CIO

SEPTEMBER 21, 2023

It made predictions and analytics broadly accessible and put the power of data in the hands of people who needed it, exactly when they needed it, and in the form that was most useful to them. Microsoft quickly pledged to support it on its Azure platform. Artificial Intelligence, Machine Learning So did Amazon on AWS.

Artificial Inteligence 325

Artificial Inteligence Enterprise Trends ChatGPT 325

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 65

Course Training Artificial Inteligence Software Review 65

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. Compared to CDW, Amazon Redshift ran the workload at 19% higher cost, Azure Synapse Analytics had 43% higher cost, DW1 had 79% higher cost, and DW2 had 5.5x

Performance 90

Performance Cloud Data Storage 90

CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We We use AWS and Azure.

Generative AI 321

Generative AI Artificial Inteligence ChatGPT Azure 321

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. They use it to feed advanced analytics programs and machine learning and statistical methods to develop data for use in predictive modeling.

Big Data 52

Big Data Data Engineering Engineering Data 52

Mentormate

JUNE 26, 2023

Another key driver of cognitively augmented business processes is the ever-increasing amount and variety of the so-called cognitive services available in the Amazon Web Services (AWS), Azure, and Google marketplaces. Cognitive technologies typically require skills in AI, machine learning, data science, and related fields.

Artificial Inteligence 98

Artificial Inteligence ChatGPT Weak Development Team Insurance 98