CIO Business Intelligence

DECEMBER 12, 2022

Microsoft has signed a 10-year deal with the London Stock Exchange Group (LSEG) that calls for the software giant to buy a 4% stake in the exchange in order to jointly develop new products and services for data and analytics. billion) in 2021. billion on cloud-related products with Microsoft.

Manufacturing 111

Manufacturing Interactive Marketing Risk 111

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Streamlining operations with advanced analytics to preempt issues.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

IBM Big Data Hub

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. Anomaly detection: Some manufacturers have zero-defect goals. Compute optimization: Data centers consume a huge amount of electricity.By

Optimization 78

Optimization Manufacturing Cost-Benefit Risk 78

IBM Big Data Hub

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

Metadata 79

Metadata Modeling Testing Manufacturing 79

IBM Big Data Hub

FEBRUARY 7, 2024

Businesses, governments and individuals now see sustainability as a global imperative. In 2024, sustainability is taking center stage. Efforts to track and reduce emissions, environmental impact and contributions to climate change are no longer rare or optional; instead, they’ve become the norm. trillion to the global economy by 2050.

Reporting 98

Reporting Cost-Benefit Internet of Things Data-driven 98

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

DataRobot Blog

AUGUST 18, 2022

Keeping pace with the connected consumer, embracing emerging trends in shopping, or staying ahead of the competition—these challenges bear down on retailers and manufacturers greater than ever before. AI enables manufacturers and retailers to innovate across their operations and maximize business impact. AI in Supply Chain Management.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Alation

FEBRUARY 3, 2022

The car manufacturer leverages kaizen to improve productivity. The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

TIBCO

MARCH 22, 2021

This year, embrace the spirit of spring at the TIBCO Analytics Forum (TAF) 2021 by learning about new analytics and data management technologies and approaches and how to foster growth in the coming years. And get a head start on upping your analytics knowledge by exploring the TIBCO Community Blog and Spotfire demo gallery.

Analytics 97

Analytics Manufacturing Digital Transformation Data Science 97

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Minimizing Supply Chain Disruptions .

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

IBM Big Data Hub

FEBRUARY 29, 2024

Countries leading the way Governments around the world are taking strides to increase production and use of alternative energy to meet energy consumption demands. Additionally, many governments see renewable energy as a way to improve their economies through job creation and investment, and public health by reducing air pollution.

IoT 104

IoT Internet of Things Optimization Manufacturing 104

DataKitchen

JUNE 12, 2023

Why the Data Journey Manifesto? We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

IBM Big Data Hub

FEBRUARY 13, 2024

Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. 2 For instance, through sustainable strategic sourcing, companies consider questions like: Do manufacturing plants minimize waste and effectively use resources?

Cost-Benefit 85

Cost-Benefit Scorecard Risk Recreation/Entertainment 85

IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

Risk Management 80

Risk Management Risk Enterprise Business Services 80

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

IBM Big Data Hub

APRIL 27, 2023

While many organizations have established environmental, social and governance (ESG) goals and made ESG commitments, driven by purpose and emerging regulatory requirements, they face several challenges when making the transition from ambition to action. 94% more of Enabled believe ERPs are helping manage manufacturing sustainability goals.

Metrics 85

Metrics Cost-Benefit Reporting Manufacturing 85

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. A successful AI strategy should act as a roadmap for this plan.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

IBM Big Data Hub

DECEMBER 15, 2023

Implementing carbon accounting into a sustainability strategy proves to stakeholders that an organization is working on decarbonization due to environmental, social and governance (ESG) pressure to reach net zero. The company even reduces waste through recycling returns and other sustainable materials during the manufacturing phase.

Consulting 72

Consulting Manufacturing Strategy Risk Management 72

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Machine Learning 109

Machine Learning Manufacturing Unstructured Data Modeling 109

IBM Big Data Hub

APRIL 20, 2023

Along with defining and operationalizing the right level of governance across organizational layers for efficient value orchestration and continuous improvement. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap.

KPI 71

KPI Consulting Finance Enterprise 71

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. Beyond new revenue, and time savings, AI is being deployed to solve critical problems in healthcare, the environment and government.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

Cloudera

AUGUST 17, 2023

Passengers would need to trust that the manufacturing process was as rigorous as the design process. In the context of the Python ecosystem, which underlies the vast majority of ML/AI/data science implementations, pre-compiled binaries are combined with human readable Python code in a bundle called a wheel.

Software 73

Software Risk Manufacturing Finance 73

DataKitchen

JUNE 7, 2021

This is a common question that we hear from our conversations with data scientists, engineers and analysts. DataOps includes four key objectives: Measure Your Process – As data professionals, we advocate for the benefits of data-driven decision making. What can you do? How can one get started given these limitations?

Testing 130

Testing IT Measurement Data-driven 130

erwin

JANUARY 7, 2021

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. Historically, moving legacy data to the cloud hasn’t been easy or fast. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

Cloudera

MAY 18, 2022

By leveraging data, analytics, and automation, a company can gain a better understanding of where it is and where it needs to go. That means developing scenarios in which AI can boost efficiency, productivity, and process optimization through AI-enabled data analytics and automation. . Will the data have other uses? .

Cost-Benefit 95

Cost-Benefit Strategy Manufacturing Optimization 95

CIO Business Intelligence

SEPTEMBER 12, 2023

Sectors now subject to NIS2 compliance include food production, processing, and distribution; postal and courier services; and manufacturing and digital providers. [ii] Are you able to continuously monitor a subject’s security state using all available data? Zero Trust Security also requires continuous monitoring of users and devices.

IoT 95

IoT Measurement Manufacturing Finance 95

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What are the business challenges with today’s data?

Analytics 95

Analytics Unstructured Data IoT Visualization 95

Smart Data Collective

NOVEMBER 20, 2022

Big data and AI technology have played a huge role in dealing with some of the challenges that arose. We previously talked about the benefits of big data and BI in overcoming the problems the pandemic caused for businesses. This wouldn’t have been possible without major advances in big data technology.

Big Data 106

Big Data Technology Internet of Things IoT 106

IBM Big Data Hub

NOVEMBER 10, 2023

Areas to assess can include, financial, manufacturing, inventory, sales and more. What are the ERP system’s specific data requirements and is it compatible? Set the parameters for user roles and permissions so that you can control everyone’s access across the system and make sure data controls are put in place.

Enterprise 121

Enterprise Consulting Testing Cost-Benefit 121

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

Consulting 64

Consulting Machine Learning Manufacturing Optimization 64

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

erwin

AUGUST 13, 2020

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? Taking months to perform impact analysis and solution design is no longer viable, and data has to be agile.

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

CDW Research Hub

MARCH 1, 2021

Force 3, a leading national IT solutions integrator for the federal government, has completed its rebranding in an effort to help it collaborate more extensively and holistically with its parent company, Sirius Computer Solutions, Inc. While the name is new, the company’s commitment to serving the needs of the federal government is not.

Manufacturing 52

Manufacturing Technology Optimization Strategy 52