IBM Big Data Hub

JANUARY 29, 2024

Gartner predicts that 15% of on-premises production workloads will run in containers by 2026. Able to analyze large data sets, predict trends and make informed decisions, AI’s role will be to transform mere automation into intelligent operation. Don’t just keep pace with these advancements in technology. billion in 2022.

Cloud 71

Cloud Analytics Compliance Marketing 71

IBM Big Data Hub

NOVEMBER 10, 2023

In this blog, we’ll look at five simple ways to optimize spend with IBM Turbonomic — a hybrid cloud cost optimization platform and the “Ops” in FinOps — while still leveraging the elasticity of the cloud. Automatically rightsize cloud resources, such as VMs or containers based on their current utilization.

Cloud 74

Cloud Retail Sales IT 74

IBM Big Data Hub

APRIL 22, 2024

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. We are also working to help organizations become more climate resilient by providing them with the tools needed to predict climate impact. This will help advance progress by optimizing resources used.

Energy and Utilities 84

Energy and Utilities IoT Data collection Analytics 84

OpenText Information Management

JANUARY 6, 2022

The pandemic caused resource shortages and price hikes that affected residential and industrial customers alike, and it’s likely this environment will continue well into 2022. In response, we’ll see utility companies … The post Top predictions for the Utilities industry in 2022 appeared first on OpenText Blogs.

IT 57

IT Cloud 57

Thales Cloud Protection & Licensing

OCTOBER 2, 2018

The nonprofit group ISACA predicts that by 2019, there will be a global shortage of two million cybersecurity experts. Visit this page to subscribe to our newsletter to receive the latest data security research, insights from our blogs and other resources.

Cybersecurity 70

Cybersecurity Education Security Risk 70

IBM Big Data Hub

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Routine questions from staff can be quickly answered using AI.

Artificial Intelligence 87

Artificial Intelligence Retail Unstructured data Insurance 87

IBM Big Data Hub

DECEMBER 18, 2023

These maps, graphs, statistics and cartograms display geographical features like location, natural resources, streets and buildings as well as demographics. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

Energy and Utilities 105

Energy and Utilities Artificial Intelligence IoT Agriculture 105

IBM Big Data Hub

AUGUST 8, 2023

For example, inaccurate resource requests set on workload resources in Kubernetes can lead to massive over-provisioning of resources, causing significant increases in cloud costs. When resource requirements are overestimated, Kubernetes will scale the underlying infrastructure, leading to waste.

Cloud 53

Cloud IT 53

OpenText Information Management

NOVEMBER 4, 2019

Yet in today’s enterprise security landscape, security leaders have the impossible job of providing security to an organization with increasingly limited resources – including a skills shortage that seems to be on the rise.

Security 74

Security Cybersecurity 74

IBM Big Data Hub

OCTOBER 16, 2023

Resource allocation can then be managed by optimizing efficiency and eliminating waste. Automation and AI-powered solutions : Use watsonx automation and AI to predict and resolve issues, enhance accuracy and increase operational efficiency. Read more about watsonx here.

Risk 73

Risk Cloud Access IT 73

IBM Big Data Hub

MAY 9, 2024

Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. It’s worth noting that most electronic health records (EHR) systems offer predictive analytics capabilities. The accuracy of these analytics is limited by the accuracy of the data used.

Government 58

Government GDPR Compliance Analytics 58

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

Blockchain 88

Blockchain Analytics Artificial Intelligence Marketing 88

IBM Big Data Hub

SEPTEMBER 12, 2023

Reducing delays increases the predictability of supply chains, which enables further optimization and cost reduction (including the reduction of inventory carrying costs). The models also reduce private sector customs data collection costs by 40%.

Government 92

Government Data collection Analytics Risk 92

IBM Big Data Hub

SEPTEMBER 12, 2023

This synergy enables teams to detect anomalies, predict issues and respond proactively, ensuring continuous service availability and reliability. Automation, once set up, can operate continuously and efficiently without incurring additional human resource expenses.

Cloud 70

Cloud Analytics Marketing Risk 70

IBM Big Data Hub

OCTOBER 30, 2023

Transparent and predictable pricing Instana’s pricing structure is transparent and predictable. As new hosts or containers are added to the infrastructure, you only pay for the additional resources being monitored, not the users monitoring it.

Cloud 78

Cloud IT Access 78

The Last Watchdog

OCTOBER 4, 2021

Cybersecurity Ventures predicts that there will be 3.5 The “Sandhill Road Effect” — the continued investment in a glut of isolated, point security solutions — is putting a strain on IT Security resources today. This additional data analysis need further strains limited IT security resources.

Cybersecurity 140

Cybersecurity IT Analytics Education 140

AIIM

DECEMBER 20, 2018

Those who have been practicing Human resource management for years knows the importance of relying on data analytics for creating an enhanced work culture or else they might lag behind that of other departments. With the ever-growing technology advancement, Human Resource professionals have started embracing the future: data analysis.

Big data 123

Big data Analytics Mining Insurance 123

IBM Big Data Hub

DECEMBER 5, 2023

In practice, this could mean guiding users to the appropriate resources, whether that’s connecting them with the right agent or directing them to user guides and FAQs. A recent forecast by the research analyst firm IHL Group predicts that generative AI will have a total financial impact of USD 9.2 trillion in that year.

Retail 95

Retail Unstructured data Artificial Intelligence Sales 95

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Once trained, the model can receive as input unseen flight data and predict if the flight will arrive on time or late at its destination. The information includes the importance of a column in generating a prediction from the model.

Metadata 90

Metadata Cloud IT Analytics 90

IT Governance

SEPTEMBER 30, 2022

Small businesses are vulnerable to cyber attacks because they lack the resources to address cyber security. Despite this, small organisations consistently find the resources to pay cyber criminals who target their systems. When you look at the data through this lens, you see why certain industries are more affected than others.”.

Ransomware 136

Ransomware Manufacturing Data breaches Risk 136

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

Artificial Intelligence 98

Artificial Intelligence Risk Agriculture Government 98

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Healthcare 59

Healthcare Artificial Intelligence Data science Compliance 59

IBM Big Data Hub

JUNE 29, 2023

Both KPIs help predict how assets will perform and assist managers in planning preventive and predictive maintenance. Preventive and predictive maintenance Both preventive and predictive maintenance are maintenance strategies used by business leaders to increase asset reliability. First, let’s look at MTBF and MTTR.

Analytics 86

Analytics Artificial Intelligence Risk IoT 86

IBM Big Data Hub

SEPTEMBER 7, 2023

By introducing AI into the renewable energy generation, transmission and distribution processes, utilities can better predict weather patterns in advance , giving them better insights into the output of solar and wind farms.

Energy and Utilities 101

Energy and Utilities Analytics Artificial Intelligence Customer Experience 101

OpenText Information Management

MARCH 26, 2024

These AI systems can monitor patient health in real-time, using data from wearable devices and other digital health tools to predict exacerbations in conditions such as diabetes, heart disease, and asthma. This approach leverages genomics to predict the most effective treatments, minimizing adverse reactions.

Digital transformation 57

Digital transformation Communications Education Analytics 57

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. using AI to understand compute demand over time, it becomes possible to optimize the use of computing and cooling resources. Where to next?

Energy and Utilities 78

Energy and Utilities Agriculture Manufacturing Risk 78

IBM Big Data Hub

APRIL 25, 2024

The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization. This blog outlines some BPR examples that benefit from a BPM methodology. BPR involves business process redesign that challenges norms and methods within an organization.

Analytics 61

Analytics Communications Marketing Manufacturing 61

IBM Big Data Hub

AUGUST 8, 2023

People and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment so much that they threaten our natural resources?

Artificial Intelligence 69

Artificial Intelligence IoT Compliance Communications 69

IBM Big Data Hub

OCTOBER 3, 2023

Together, IBM Instana and IBM Turbonomic provide real-time observability and control that everyone and anyone can use, with hybrid cloud resource and cost optimization so you can safely automate to unlock elasticity without compromising performance. You’ll be able to move to a more predictive—even preventative—approach.

Customer Experience 95

Customer Experience Cloud IT 95

IBM Big Data Hub

JANUARY 24, 2024

Regulated cloud costs Too often, organizations overprovision resources in case there’s a spike in demand to make sure their applications perform. Turbonomic can automatically optimize your applications’ resourcing levels while dynamically scaling with business needs—all in near real-time while preserving performance.

Cloud 66

Cloud Compliance Security IT 66

The Last Watchdog

JANUARY 8, 2023

Smarter security measures mean more subtle, intuitive, predictive solutions that can grease the wheels for whatever a fast-thinking enterprise can come up with next. Sometimes the issue is resources. Part of problem-solving is examining the trouble spot from all angles. Managed solutions can help.

Risk 214

Risk Cybersecurity Manufacturing Security 214

IBM Big Data Hub

DECEMBER 5, 2022

IBM invests in our partner ecosystem because we want to ensure that partners like you have the resources to build your business and develop software for your customers using IBM’s industry-defining hybrid cloud and AI platform. Additional resources. Medium Blog: What are Watson Libraries? PartnerWorld Embeddable AI resources.

Libraries 57

Libraries Education Digital transformation Cloud 57

IBM Big Data Hub

MARCH 27, 2024

However, this leads to skyrocketing cloud costs due to inefficient data processing and the need for resource-consuming cluster solutions. During sudden and unexpected load spikes, a pre-scaled cluster may not respond quickly enough if resources are already fully utilized, resulting in performance degradation.

Cloud 102

Cloud Data structuring Marketing IT 102

IBM Big Data Hub

DECEMBER 1, 2023

Enterprise resource planning (ERP) is a business management software built to do just that. While there are different types of enterprise resource planning systems, all solutions are built to help improve business functions and business operations. The software is installed on an organization’s own servers and computer equipment.

Cloud 94

Cloud Energy and Utilities e-Delivery Risk 94

The Last Watchdog

JANUARY 24, 2022

However, business model integration of AI is in its infancy and smaller companies often lack the resources to leverage AI. This is a statistical model for predicting the class of dependent variables from a set of given independent variables. Artificial intelligence (AI) is woven into the fabric of today’s business world.

Cybersecurity 250

Cybersecurity Customer Experience Artificial Intelligence Marketing 250

IBM Big Data Hub

AUGUST 16, 2023

Gartner predicted that cloud spending would reach nearly $600 billion by the end of 2023. In addition, companies can run up cloud costs because they provision more resources than necessary for their normal business functions. It enables the lowest-level control of resources in the cloud.

Cloud 68

Cloud Digital transformation Access IT 68

OpenText Information Management

APRIL 4, 2024

As budgets come under pressure, customer success teams will need to dig deep to optimize their resources and find innovative ways to deliver value without incurring excessive costs. Improved orchestration can help inform next journey steps along with predictive insights: who’s more likely to expand and who might be at risk of leaving.

Sales 62

Sales B2B Communications Insurance 62