Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Never underestimate the power of small data.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

DataRobot

FEBRUARY 17, 2021

As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. Army, where she reports to the Undersecretary of the Army on mission-critical data analytics. And if we can put better models in our leaders’ hands, nothing can stop us.”.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. This enables the company to extract additional value from the data through real-time availability and contextualization.

Manufacturing 74

Manufacturing Data Lake Digital Transformation Machine Learning 74

CIO Business Intelligence

JANUARY 31, 2024

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?”

Cost-Benefit 114

Cost-Benefit Modeling Testing IoT 114

AWS Big Data

JUNE 10, 2024

For consumer access, a centralized catalog is necessary where producers can publish their data assets. Cross-producer data access – Consumers may need to access data from multiple producers within the same catalog environment. The producer account will host the EMR cluster and S3 buckets. VPC with the CIDR 10.0.0.0/16.

Data Lake 82

Data Lake Metadata Data Warehouse Data Processing 82

Laminar Security

DECEMBER 1, 2023

We will also show you why Laminar is the best choice for cloud data security. A good DSPM solution should provide the following features: Data discovery: The ability to scan and discover sensitive data across various cloud platforms and services, such as AWS, Azure, GCP, Salesforce, Office 365, etc.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

OCTOBER 25, 2023

The anomaly detector processor creates and trains RCF models for a hashed value of keys, then uses those models to determine whether newly arriving messages have an anomaly based on the trained data. Also, for this walkthrough, we used a non-default sample_size for training the model.

Analytics 121

Analytics Data Processing Optimization Metrics 121

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

CIO Business Intelligence

APRIL 6, 2022

Simply put, the solution is alerting you to look for the compromised host, but you’ve already been breached. XDR expands visibility into security alerts and raw data across all security telemetry then applies analytics, automation, and machine learning to detect, analyze, hunt, and stop threats and breaches. Automated response.

Data Processing 86

Data Processing Machine Learning Risk Dashboards 86

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

AWS Big Data

MAY 28, 2024

Real-time generative BI dashboards with Kinesis Data Streams, Amazon QuickSight, and Amazon Q In today’s data-driven landscape, your organization likely possesses a vast amount of time-sensitive information that can be used to gain a competitive edge. Alternatively, IoT devices could send data directly to Kinesis Data Streams.

IoT 91

IoT Analytics Dashboards Data-driven 91

Smart Data Collective

JUNE 28, 2021

They give online retailers high levels of control over their own internal data. They are not subject to data loss from hosting it in the cloud, which might have retention policies outside their control. E-commerce companies are using a lot of great data centers and hosting options.

Management 87

Management Big Data Data Processing Advertising 87

CIO Business Intelligence

OCTOBER 5, 2023

As the pace of innovation speeds up, tomorrow’s front runners are those who readily embrace disruptive technologies to spearhead new business models and capture new avenues of growth. At the same time, the influx of new technologies and new business models is introducing myriad vulnerabilities and expanding the threat surface area.

Technology 112

Technology Digital Transformation Data-driven Modeling 112

CIO Business Intelligence

AUGUST 19, 2022

So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.”. Hosted on AWS, the Virtual Enrollment Experience developed by Aflac includes a microsite customized for each account. “We COVID was the digital disruptor. “So Virtualizing policy enrollment.

Insurance 89

Insurance Digital Transformation Data Processing Machine Learning 89

Jet Global

DECEMBER 12, 2022

Adopting a new SaaS model, Jet Analytics Cloud is delivered via Microsoft Azure to provide a seamless and enhanced user experience. December 12, 2022— insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced the release of Jet Analytics Cloud. Raleigh, N.C.,

Analytics 52

Analytics Finance Data Processing Consulting 52

Smart Data Collective

MARCH 28, 2021

On-premise data centers are highly susceptible to cyberattacks as well. For instance, Azure Digital Twins allows companies to create digital models of environments. These digital presentations are built from real-time data either in pure form or 3D representations. How nice would it be to host your entire site on the cloud?

Cost-Benefit 137

Cost-Benefit IoT Internet of Things Data-driven 137

CIO Business Intelligence

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” It depends on what business model you’re in. 1 barrier to moving forward in the cloud.

Strategy 123

Strategy Data Processing Experimentation Optimization 123

Smart Data Collective

MAY 28, 2021

Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure. Azure: What’s Special About it for Data-Driven Organization? Yeah, awesome! But, then…….

Data-driven 134

Data-driven Cost-Benefit Big Data Data Processing 134

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

Management 63

Management Optimization Data Processing Metrics 63

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. AI products are automated systems that collect and learn from data to make user-facing decisions. Why AI software development is different.

Management 339

Management Machine Learning Experimentation Metrics 339

Smart Data Collective

JULY 20, 2022

One of the ways that smart business leaders can create successful data strategies is to utilize lean thinking. Lean Thinking and Big Data Can Be Merged for Superior Decision-Making. It is a lot easier to get the most bang for your buck with time and financial resources if you know how to take advantage of data analytics tools.

Data-driven 124

Data-driven Optimization Big Data Data Strategy 124

Cloudera

MARCH 29, 2022

To capitalize on the opportunities that data creates for the public good, state and local CIOs must harness data in motion with a cohesive strategy and platform. It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. Hybrid cloud is the Model of Choice.

Cost-Benefit 97

Cost-Benefit Strategy Data Science Data Processing 97

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Next, “Horizon 2 is about innovating business models.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

JULY 11, 2022

The uptick in remote work setups and more digital-first business models are pushing organizations to apply secure access no matter where their users, applications or devices are located. Hybrid model brings new challenges and security vulnerabilities. Cybersecurity is top of mind for everyone.

Digital Transformation 85

Digital Transformation Software Risk Data Processing 85

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 79

Analytics Cost-Benefit ROI Business Objectives 79

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models.

Uncertainty 99

Uncertainty Forecasting Visualization Big Data 99

DataKitchen

FEBRUARY 21, 2023

How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done. How do you scale an organization without hiring an army of hard-to-find data engineering talent? Data team morale is consistent with DataKitchen’s own research. A better ETL tool?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Of course, data center challenges are also driving demand for these alternatives. Yes, specific AI workflows require special hardware configurations.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? s unique about the role is it sits at the cross-section of data, technology, and analytics. s a unique role and itâ??s

Machine Learning 120

Machine Learning Insurance Technology Software 120

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. . Eni, HPC5: The Supercomputer Working for Energy.

Informatics 80

Informatics Modeling Testing Technology 80

Smart Data Collective

MARCH 30, 2022

While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are. New ecommerce startups are discovering interesting ways to utilize analytics. How Can Your New Ecommerce Startup Take Advantage of Analytics Technology?

Analytics 115

Analytics Cost-Benefit Testing Dashboards 115

IBM Big Data Hub

JULY 6, 2023

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It requires data science tools to first clean, prepare and analyze unstructured big data.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

AUGUST 9, 2023

Additionally, VPC allows seamless integration with other IBM Cloud services, creating a unified ecosystem to host various applications and workloads. Cost- e ffectiveness: Both VPC and PowerVS follow a pay-as-you-go pricing model, allowing businesses to optimize costs by scaling resources based on actual usage. Create a PowerVS subnet.

Data Processing 73

Data Processing Testing Optimization Reporting 73