O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

CIO

AUGUST 14, 2023

Without visualized analytics, it was difficult to bridge the void between expectation and accurate analysis. The objectives were lofty: integrated, scalable, and replicable enterprise management; streamlined business processes; and visualized risk control, among other aims, all fully integrating finance, logistics, production, and sales.

KPI 246

KPI Construction Analytics Groups 246

Openxcell

JUNE 9, 2023

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

Big Data 52

Big Data Analytics Tools Data 52

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. It’s like having a mini data center right where the action happens.IDC reports worldwide spending on edge computing is expected to reach $232 billion in 2024, an increase of 15.4% over 2023 2.

Artificial Inteligence 258

Artificial Inteligence Storage Artificial Intelligence Retail 258

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. 2021 Gartner Magic Quadrant for Cloud DBMS .

Report 87

Report Technical Advisors Cloud Analytics 87

CIO

AUGUST 23, 2022

According to a IDC 1 , 71 percent of organizations report their long-term planning cycles have shortened due to COVID-19, with 82 percent of the same participants stating that long-term planning cycles have been reduced to two years or less. . IT procurement cycles have accelerated and investments have increased – much more than pre-COVID.

Artificial Inteligence 263

Artificial Inteligence Artificial Intelligence Technical Review Scalability 263

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. Full-stack software engineer. Back-end software engineer. Director of software engineering.

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. Full-stack software engineer. Back-end software engineer. Director of software engineering.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

JANUARY 8, 2024

Like many enterprises, Cathay Pacific relied heavily on a lift-and-shift approach in its initial phase to benefit from the immediate efficiencies and scalability of the cloud. The cybersecurity threat landscape in the Asia-Pacific region is worsening progressively,” IDC India research analyst Sakshi Grover says in the report. “To

Airlines 270

Airlines Cloud Blockchain Generative AI 270

CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

Artificial Inteligence 229

Artificial Inteligence Minimum Viable Product Machine Learning Artificial Intelligence 229

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

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

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Government 357

Government Data Technical Review Policies 357

CIO

AUGUST 9, 2023

Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth. Once a vanguard business strategy, digital transformation has become a perennial objective for business survival.

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

Cloudera

OCTOBER 4, 2023

Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

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

AWS Machine Learning - AI

MARCH 4, 2024

Customers can optimize domain specific experimental procedures in manufacturing, or audit financial reports based on contextual data, in an automated way and with high accuracy using AI-driven responses. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services.

Generative AI 134

Generative AI AWS Artificial Inteligence Innovation 134

Hacker Earth Developers Blog

JANUARY 16, 2024

This is what a Redittor has to say about Java: In a nutshell, Java is known for its platform independence and scalability. According to JetBrains State of Developer Ecosystem report , 27% of respondents showed their interest in learning Python compared to other programming languages like Java and JavaScript.

Technical Review 130

Technical Review Software Review Recruiting Systems Review 130

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. Report – Data Engineering (Hive3), Data Mart (Apache Impala) and Real-Time Data Mart (Apache Impala with Apache Kudu) . This is Now. And We Are Not Done.

Cloud 91

Cloud Machine Learning Artificial Inteligence Azure 91

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. In this article we will discuss business analytics tools and use cases. “The

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

Palo Alto Networks

FEBRUARY 22, 2024

These connectivity attributes are required to implement operational technology (OT) network transformations through advanced technologies, like machine learning (ML), artificial intelligence (AI) and automation, the building blocks for realizing the potential of Industry 4.0 initiatives. innovation lab.

Network 83

Network Industry Artificial Inteligence Artificial Intelligence 83

Perficient

MAY 21, 2024

Our deep expertise in life sciences and digital technologies, including artificial intelligence and machine learning, help transform the R&D process and deliver meaningful value to patients and healthcare professionals. A Transformative Clinical Trial Data Environment That Accelerates Progress The results were transformative.

Pharmaceuticals 52

Pharmaceuticals Artificial Inteligence Data Systems Review 52

Dzone - DevOps

JUNE 7, 2023

They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development. They also provide customization options, allowing developers to tailor software solutions to specific business requirements.

Software Development 40

Software Development System Software Development 40

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 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

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Actionable insights (via dashboards, reports, visualizations, …). Machine Learning. FICO score).

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Trigent

SEPTEMBER 30, 2023

According to a Goldman Sachs report, the economic impact of AI is nearly $7 trillion to global GDP. From chatbots, machine learning algorithms, and virtual assistants to robotic process automation, it significantly impacted streamlining processes and augmenting human capabilities.

Artificial Inteligence 52

Artificial Inteligence Technical Review Artificial Intelligence Trends 52

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

AWS Machine Learning - AI

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. Users can quickly review and adjust the computer-generated reports before submission.

Generative AI 97

Generative AI AWS Lambda Technical Review 97

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Analytic engines like Apache Impala adhere to these SDX policies ensuring users see the data they are granted by applying column masking and row filtering as needed. Starting with CDP 7.1.7

Policies 84

Policies Machine Learning Artificial Inteligence Data Engineering 84

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics should be able to provide the business with insights so that they can make better business decisions.

DevOps 130

DevOps Data Analytics Policies 130

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O is the open source math & machine learning platform for speed and scale. Alteryx, a leader in Strategic Analytics, dramatically improves data analysts’ productivity.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Existek

DECEMBER 28, 2023

For instance, the recent demand for cloud-based ERP is explained by definite advantages like flexibility, scalability, and cost-effectiveness. Would you like to find out more about AI analytics for different industries? Innovative technologies are always helpful for delivering functional and cutting-edge products.

Artificial Inteligence 52

Artificial Inteligence Enterprise Artificial Intelligence Technical Review 52

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera Data Platform (CDP) is an end-to-end data management, analytics, and machine learning platform that helps financial services manage their enterprise data. Highly Scalable. Cloudera is that platform.

Technical Review 87

Technical Review Marketing Technology Data 87

Cloudera

FEBRUARY 18, 2021

Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. . Technology such as a camera phone, drone or an automated chat bot is used to report the claim, capture information about damage or invoices and to communicate with the customer.

Insurance 105

Insurance Trends Data Artificial Inteligence 105