TechCrunch

FEBRUARY 17, 2021

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph founder and CEO, Yu Xu. ” .

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

Apiumhub

FEBRUARY 25, 2021

Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. What is Data Science? Classification (e.g.,

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. Instead, it focuses on backend processes, like data aggregation, analysis, and integration. Step 3: Focus on Data Integration Data integration is a critical component of Headless BI.

How To 52

How To Scalability Analytics Google Cloud 52

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

MARCH 29, 2023

Set up the SAP Data Hub environment, connect to the SAP data, set up a pipeline with Pipeline Modeler, configure the Streaming Analytics Service, setup Kafka or MQTT and receive the streaming data in Databricks with Spark Streaming. Meanwhile, your business sponsors are waiting not-so-patiently for any results.

Analytics 81

Analytics Machine Learning Artificial Inteligence Architecture 81

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Analytics 86

Analytics Machine Learning Artificial Inteligence Telecommunications 86

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Agility and scalability. Unstructured data.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. 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 is a data architect?

Data 87

Data Data Engineering Big Data Architecture 87

AWS Machine Learning - AI

APRIL 24, 2024

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.

Artificial Inteligence 106

Artificial Inteligence Engineering Performance Generative AI 106

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. “ Data Explosion ” refers to a trend of exponentially multiplying data that is stored.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Anatomy of Data Warehouse-as-a-Service.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data 98

Data Technical Review Storage Systems Review 98

Apps Associates

JULY 14, 2023

Migrating your Oracle workload to the cloud, specifically Amazon Web Services, can provide numerous benefits for your business. Improved scalability, high availability, enhanced security, cost optimization, and seamless integration with AWS services are just a few advantages worth considering.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Existek

NOVEMBER 21, 2023

Difference between AI and traditional analytics How to use AI in data analytics? AI analytics benefits Business use cases of AI analytics Conclusion WHAT IS AI ANALYTICS When it comes to advancing different business operations and processes, it is impossible without bringing analytics to the focus.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

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

Exadel

FEBRUARY 27, 2023

Top 5 AI Implementation Challenges and Expert Tips to Avoid Them A little foreword: the decision to implement AI in your organization should be preceded by a thorough audit of your business processes and an IT infrastructure assessment. Challenge #1: Ensuring Data Quality and Availability Data is the fuel that keeps the wheels of AI turning.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Openxcell

JULY 27, 2023

Almost all customer data is stored in a cloud environment. In this way, customers do not require data center-based or in-house applications. If a customer has a solid internet connection, they can access their data from any device anywhere in the world. The cloud hosts all business data and is accessed through SaaS.

Company 52

Company Software Review Mobile Trends 52

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

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, and “What is its business value?”. What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

CIO

JUNE 30, 2023

Luke Roquet recently spoke to a customer who recounted the shock of getting a $700,000 bill for a single data science workload running in the cloud. This doesn’t mean the cloud is a poor option for data analytics projects. In many scenarios, the scalability and variety of tooling options make the cloud an ideal target environment.

Analytics 240

Analytics Cloud Data Government 240

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

RapidValue

APRIL 20, 2020

With faster deployments, scalability and improved visibility across applications, cloud computing is a hit among DevOps-minded teams. Leveraging the automation and scalable features of cloud computing, DevOps teams can drive innovation, achieve agility, resilience and increased business value.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

Pharmaceuticals 322

Pharmaceuticals Business Intelligence Technical Review Government 322

Kentik

JULY 10, 2018

This series of guest posts has concentrated on the numerous challenges facing enterprise IT managers as businesses embrace digital transformation and migrate IT applications from private data centers into the cloud. Network data is big data. In this post, I would like to finally expand on this theme.

Tools 45

Tools Cloud Big Data WAN 45

O'Reilly Media - Ideas

JANUARY 16, 2019

Organizations that use security tools with artificial intelligence (AI) and machine learning (ML) see a significant decrease in incident response time, according to a survey of 457 security practitioners conducted by O’Reilly Media in conjunction with Oracle. AI security services still catching on.

Artificial Inteligence 85

Artificial Inteligence Artificial Intelligence Survey Budget 85

Apiumhub

APRIL 27, 2021

Over the last decade, advances in processing power and speed have enabled us to move beyond manual, tedious and time-consuming practices to quick, easy and automated data analysis. The more complex the data sets collected, the more potential there is to uncover relevant insights. What is Data Mining. What is Data Mining.

Artificial Inteligence 104

Artificial Inteligence Data Machine Learning Artificial Intelligence 104

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 261

Artificial Inteligence Data Artificial Intelligence Analytics 261

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Government 117

Government Artificial Inteligence Machine Learning Data 117

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

JANUARY 22, 2020

Such a method requires sending and receiving millions bits of data at any given moment, so that you can play another Black Mirror episode on the go. Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

CIO

MARCH 2, 2023

A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture. Fast and accurate data extraction will speed up transactions and automation capabilities, and be the foundational technology within any business intelligence or data analytics platform, enabling better collaboration and B2B communications, he says.

Artificial Inteligence 354

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 354

Datavail

SEPTEMBER 1, 2021

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Scalability. Fast response.

Analytics 97

Analytics Technical Review Cloud Data 97

Altexsoft

SEPTEMBER 9, 2022

Metadata is basically information that describes other data. It helps us understand the origin, structure, nature, and context of data. It aims at making data assets understandable and discoverable for users. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks.

Tools 59

Tools Technical Review Software Review Systems Review 59