David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

For example, many tasks in the accounting close follow iterative paths involving multiple participants, as do supply chain management events where a delivery delay can set up a complex choreography of collaborative decision-making to deal with the delay, preferably in a relatively optimal fashion.

Optimization 130

Optimization Machine Learning Software Interactive 130

CIO Business Intelligence

AUGUST 13, 2024

As with any new technology, however, security must be designed into the adoption of AI in order to minimize potential risks. How can you close security gaps related to the surge in AI apps in order to balance both the benefits and risks of AI? Enterprises can manage AI risks at every step of the journey with AI Runtime Security.

Risk 119

Risk Cost-Benefit Enterprise Modeling 119

CIO Business Intelligence

DECEMBER 14, 2023

As CIOs seek to achieve economies of scale in the cloud, a risk inherent in many of their strategies is taking on greater importance of late: consolidating on too few if not just a single major cloud vendor. This is the kind of risk that may increasingly keep CIOs up at night in the year ahead.

Risk 131

Risk Cost-Benefit Strategy Risk Management 131

CIO Business Intelligence

SEPTEMBER 9, 2024

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

Risk Management 115

Risk Management Risk Management IT 115

O'Reilly on Data

DECEMBER 10, 2019

At O’Reilly’s AI Conference in Beijing, Tim Kraska of MIT discussed how machine learning models have out-performed standard, well-known algorithms for database optimization, disk storage optimization, basic data structures, and even process scheduling. Machine learning raises the question of explainability.

Software 263

Software Machine Learning Risk Data-driven 263

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 130

Optimization Statistics Metadata Data Lake 130

CIO Business Intelligence

JUNE 21, 2024

INE Security , a leading global cybersecurity training and cybersecurity certification provider, predicts large language model (LLM) applications like chatbots and AI-drive virtual assistants will be at particular risk. “AI Strategies to Optimize Teams for AI and Cybersecurity 1.

Optimization 122

Optimization Gap analysis Strategy Data-driven 122

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

Optimization 128

Optimization Testing Data-driven Strategy 128

CIO Business Intelligence

JULY 22, 2024

As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem. There are optimization opportunities for companies who have already lifted and shifted to the cloud.” a private cloud). That isn’t always the case.

Optimization 128

Optimization Strategy IT Cost-Benefit 128

CIO Business Intelligence

OCTOBER 8, 2024

You risk adding to the hype where there will be no observable value. The learning phase Two key grounding musts: Non-mission critical workloads and (public) data Internal/private (closed) exposure This ensures no corporate information or systems will be exposed to any form of risk. Don’t (yet) worry about business use cases.

Risk 124

Risk Technology Cost-Benefit Internet of Things 124

O'Reilly on Data

JUNE 15, 2023

“Mitigating the risk of extinction from A.I. should be a global priority alongside other societal-scale risks, such as pandemics and nuclear war,” according to a statement signed by more than 350 business and technical leaders, including the developers of today’s most important AI platforms. We satisfice.”

Risk 251

Risk Optimization Modeling Reporting 251

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. This isn’t just valuable for the customer – it allows logistics companies to see patterns at play that can be used to optimize their delivery strategies.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Rocket-Powered Data Science

JUNE 17, 2022

Reference ) Security information and event management (SIEM) on the Splunk platform is enhanced with end-to-end visibility and platform extensibility, with machine learning and automation (AIOps), with risk-based alerting, and with Federated Search (i.e., The new Splunk Enterprise 9.0 Observability on-demand). This is what Splunk lives for!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage.

Marketing 363

Marketing Experimentation Metrics Testing 363

David Menninger's Analyst Perspectives

OCTOBER 15, 2024

Waiting too long to start means risking having to play catch-up. AI-enabling on-premises software is preferable where there is some combination of incurring less disruption to operations, faster time to value, lower risk of failure and lower total cost of ownership relative to migrating to the cloud.

Cost-Benefit 204

Cost-Benefit Risk Forecasting Software 204

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. AI initiatives may also require significant considerations for governance, compliance, ethics, cost, and risk. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments.

Advertising 299

Advertising Cost-Benefit ROI Machine Learning 299

CIO Business Intelligence

OCTOBER 24, 2024

From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

Risk 128

Risk Measurement Optimization Machine Learning 128

O'Reilly on Data

JUNE 7, 2022

And granted, a lot can be done to optimize training (and DeepMind has done a lot of work on models that require less energy). We can obviously do that now, but I suspect that training these subsidiary models can be optimized. Second, we need to know how to specialize these models effectively.

Modeling 363

Modeling Interactive Optimization Deep Learning 363

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them. Should we automate away all the jobs, including the fulfilling ones? Some systems and use cases are riskier than others.

Metrics 289

Metrics Reporting Measurement Finance 289

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

CIO Business Intelligence

APRIL 16, 2024

With the emergence of GenAI capabilities, fast-tracking digital transformation deployments are likely to change manufacturing as we know it, creating an expanding chasm of leaders versus followers, the latter of which will risk obsolescence. However, despite the benefits of GenAI, there are some areas of risk. Bias and fairness.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

Advertising 276

Advertising Cost-Benefit Marketing Risk 276

datapine

FEBRUARY 14, 2021

That’s why it’s critical to monitor and optimize relevant supply chain metrics. While there are numerous KPI examples you can select for your assessment and optimization, we have focused on a list that will enable you to identify potential bottlenecks and ensure sustainable development. Delivery Time.

Metrics 260

Metrics KPI Dashboards Sales 260

CIO Business Intelligence

OCTOBER 16, 2024

Dairyland Power Cooperative, a Wisconsin-based electricity supply company, for example, has turned to gen AI to improve optimization and performance of infrastructure in the field. “AI Edge computing can reduce latency, lower cost, and lower data exposure risks.” Another sector is manufacturing.

Cost-Benefit 143

Cost-Benefit Manufacturing Data-driven Optimization 143

CIO Business Intelligence

DECEMBER 3, 2024

By classifying data based on its sensitivity and implementing access controls, organizations can prevent unauthorized access to confidential data, mitigating the risk of breaches or misuse of genAI applications. Data optimization. Protect sensitive information. Ensure ethical use. Discover personal and sensitive data.

Data Governance 114

Data Governance Snapshot Machine Learning Risk 114

DataKitchen

NOVEMBER 27, 2024

Without contextual specificity, these dimensions risk becoming check-the-box exercises rather than actionable frameworks that help organizations identify and address the root causes of data quality issues. This approach allows enterprises to hold data suppliers accountable or optimize their ingestion processes to ensure higher data integrity.

Data Quality 219

Data Quality Dashboards Metrics Cost-Benefit 219

CIO Business Intelligence

OCTOBER 4, 2024

A robust foundation, one founded on a digital workforce and an AI-optimized infrastructure, is necessary to reap the technology’s outsized rewards. Security risks are another AI bugbear that businesses should keep in mind. Dell Trusted Workspace is a portfolio of endpoints crafted for modern cyber threats, including the risks of AI.

Cost-Benefit 128

Cost-Benefit Risk Optimization Machine Learning 128

CIO Business Intelligence

JULY 16, 2024

There’s no risk, because everything Recall stores is kept in local, encrypted files, not in the cloud. Behind all this we can easily imagine members of the Redmond contingent brainstorming what they might do with AI and, infected with optimism bias and infused with escalating enthusiasm, doing it. Enough of a boon to exceed its risks?

IT 126

IT Risk Snapshot Management 126

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Optimizing GenAI with data management More than ever, businesses need to mitigate these risks while discovering the best approach to data management. That’s why many enterprises are adopting a two-pronged approach to GenAI.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

OCTOBER 24, 2024

Otherwise, their continued nonalignment is a recipe for frustration, security weaknesses, and sub-optimal productivity. In light of the organization’s risk appetite, CIOs and CISOs should clarify the level of acceptable risk, how to minimize it, and what mitigation processes can be jointly established.

Risk 116

Risk Optimization Metrics Strategy 116

CIO Business Intelligence

NOVEMBER 8, 2023

This requires knowing the risks involved with the cloud, which include external risks and threats, as well as internal risks and threats that could not only lead to a security compromise or an embarrassing leak but may affect organizations’ overall productivity and efficiency. 8 Complexity. 8 Complexity. Operational costs.

Cost-Benefit 135

Cost-Benefit Risk Digital Transformation Reporting 135

CIO Business Intelligence

SEPTEMBER 18, 2023

In its Fusion Cloud HCM suite, targeted at healthcare enterprises, the company is introducing a new feature, dubbed Oracle Workforce Scheduling and Workforce Labor Optimization, which will connect healthcare enterprises’ data along with electronic health records (EHR) on a single cloud platform.

Enterprise 145

Enterprise Manufacturing Risk Optimization 145

CIO Business Intelligence

NOVEMBER 19, 2024

Solution: Optimize models for efficiency, leveraging cloud-based solutions. Intellectual property risks Failing: GenAI can inadvertently use copyrighted material, leading to legal complications. Provide transparency back to the original data source to allow verification of information.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137