IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The smart factories that make up Industry 4.0

Reporting 89

Reporting Internet of Things Cost-Benefit Data-driven 89

Cloudera

MARCH 29, 2022

The benefits are clear: The private cloud environment allows agencies to host workloads that have unique regulatory, security, or performance requirements, while leveraging a public cloud to deploy elastic and specialized workloads that require cloud-native capabilities, such as artificial intelligence, machine learning, and edge computing. .

Cost-Benefit 97

Cost-Benefit Strategy Data Science Data Processing 97

IBM Big Data Hub

MAY 26, 2023

AWS is responsible for the operation, management and control of the components from the host operating system and virtualization layer down to the physical security of the facilities in which the AWS services operate. Given the rise of AI, ChatGPT and Web3.0,

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

Sisense

MARCH 18, 2020

Where machines learn like humans and from humans, unconscious bias is as much a threat as with humans.” Software developers are often asked to create solutions that enable the collection, monitoring, and exchange of personal information. failing to flag for machines where data sets are known to be incomplete).

Software 52

Software Machine Learning Internet of Things Risk 52

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Machine learning model interpretability.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

AUGUST 15, 2023

Generac transforms its business with data Organization: Generac Power Systems Project: PowerInsights IT Leader: Tim Dickson, CIO After arriving at Generac Power Systems as its new CIO, Tim Dickson hosted the company’s first-ever hackathon to upskill IT employees and evaluate the team.

IT 97

IT Manufacturing IoT Cost-Benefit 97

CIO Business Intelligence

JANUARY 20, 2023

Dashboards are hosted software applications that automatically pull together available data into charts and graphs that give a sense of the immediate state of the company. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

bridgei2i

JANUARY 25, 2022

In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike. I’m your host Shivalika Singh, and I’m an ML engineer at BRIDGEi2i.

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 102

Modeling Risk Unstructured Data Enterprise 102

IBM Big Data Hub

NOVEMBER 14, 2023

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. In this case, the scale is not measuring the construct that interests us.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

IBM Big Data Hub

APRIL 12, 2023

The analytics layer comes on top of the data layer. It is initially an empty but pluggable layer, with management capabilities, that can host analytics functions as data consumers and providers of actionable insights. And the volume of the data increases by the same factor. Finally, the top layer is the automation layer.

Data Processing 80

Data Processing KPI Optimization Analytics 80

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g., CRM platforms).

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Occam's Razor

OCTOBER 12, 2017

The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. Intro to Machine Learning. Machine Learning. Deep Learning. The entire list of videos is well worth watching, prioritize the individual ones: Beneficial AI 2017. If you can only watch one… 1.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52