CIO Business Intelligence

JANUARY 24, 2024

Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. As a construction company, Gilbane is in the business of managing risk.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. PODCAST: COVID 19 | Redefining Digital Enterprises. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

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

CIO Business Intelligence

JANUARY 21, 2025

times compared to 2023 but forecasts lower increases over the next two to five years. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

The results can be used to uncover the source of bottlenecks, delays, unseen risks and unnecessary workloads that, in turn, allows organizations to institute improvements. An innate conservatism, aversion to risk and the need to ensure complete accuracy are the human factors at work in this delay.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

NOVEMBER 1, 2024

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. With Databricks, the firm has also begun its journey into generative AI.

IT 105

IT Insurance Consulting Risk 105

O'Reilly on Data

MAY 27, 2020

His system was needed because “beginning teachers and librarians” were less expert at “forecasting comprehension rates” than the algorithm was. The report has pages of careful caveats, but in the end it treats these risk-adjusted ratios as a good measure of a surgeon’s performance. Credit scores.

Risk 361

Risk Testing Reporting Measurement 361

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JANUARY 9, 2025

According to Retail Doctor Groups latest research , Australian retailers demonstrate a sophisticated understanding of AI applications, particularly in personalisation, demand forecasting, and supply chain optimisation. Without data that is accurate, comprehensive, and adaptable to every customers intent, businesses risk being left behind.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

CIO Business Intelligence

DECEMBER 19, 2024

This can be great for technically-savvy customers but has the risk of not being sufficiently abstracted from AI costs to hold value over time, he says. A third way that AI agents could be priced is by calculating the underlying costs and charging a small markup, he says. Potentially good for customers, but maybe not for shareholder returns.

Cost-Benefit 128

Cost-Benefit Modeling ROI Marketing 128

CIO Business Intelligence

JANUARY 21, 2025

Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up. The US government has extended robust support to TSMCs investment, offering a $6.6

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Automated processes also contribute to a more predictable operational environment that facilitates better planning and forecasting. Developing a phased migration strategy can mitigate risks and smooth the transition from legacy systems to modern automation solutions.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Forecast Time Series at Scale with Google BigQuery and DataRobot.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. Where is all of that data going to come from? This is a testament to the brand-boosting power of big data in logistics.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin. The good news is that predictive analytics technology can reduce risk exposure for these investors.

Predictive Analytics 145

Predictive Analytics Analytics Forecasting Machine Learning 145

Smart Data Collective

MARCH 2, 2023

Predictive analytics technology can help companies forecast demand One of the biggest challenges businesses face in any economy is predicting demand for their products or services. More advanced predictive analytics tools consider economic conditions when forecasting customer purchasing patterns.

Big Data 105

Big Data Uncertainty Risk Data mining 105

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

JULY 28, 2020

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. One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

DECEMBER 10, 2024

To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives. Compounding these data segments results in smarter recommendations with lead scoring, sales forecasting, churn prediction, and better analytics.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

OCTOBER 29, 2024

So much so that it cites the US Bureau of Labor Statistics which forecasts that nearly two million healthcare workers will be needed each year to keep up with domestic demand. This feature, according to the company, assumes importance as the US healthcare industry is currently facing an ongoing talent shortage.

Cost-Benefit 89

Cost-Benefit Statistics Enterprise Forecasting 89

O'Reilly on Data

FEBRUARY 11, 2019

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Forecasting Financial Time Series with Deep Learning on Azure”. Manage the Risks of ML - In Practice”.

Big Data 222

Big Data Technology Machine Learning Deep Learning 222

CIO Business Intelligence

FEBRUARY 20, 2025

Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures. A proven means of effectively presenting the complex key figures, measures and risks of a personnel plan is the use of index barometer dashboards, which offer intuitive visualization.

Big Data 84

Big Data Measurement Visualization Reporting 84

CIO Business Intelligence

APRIL 5, 2022

Enterprises face multiple risks throughout their supply chains, Deloitte says, including shortened product life cycles and rapidly changing consumer preferences; increasing volatility and availability of resources; heightened regulatory enforcement and noncompliance penalties; and shifting economic landscapes with significant supplier consolidation.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

CIO Business Intelligence

OCTOBER 9, 2024

Given supply chain complexities involving workforce capacity, demand forecasting, supply and transportation planning, and inventory and maintenance management, Petrobras was compromised by siloed and disparate data, information gaps, and broken end-to-end (E2E) processes. That hasn’t always been easy.

Forecasting 123

Forecasting Risk Consulting Optimization 123

BizAcuity

FEBRUARY 21, 2025

Forecast trends and act strategically : Integration with advanced analytics and AI-powered insights helps businesses not only predict trends but also take proactive steps to stay ahead of competitors. Finance benefiting from automated forecasting, which reduces errors and ensures more accurate financial predictions.

Dashboards 52

Dashboards Optimization Finance Sales 52

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. We’re not encouraging skepticism or fear, but companies should start AI products with a clear understanding of the risks, especially those risks that are specific to AI.

Enterprise 314

Enterprise Testing Modeling Reporting 314

CIO Business Intelligence

JANUARY 19, 2024

More than 120 ‘flavors’ to handle When your company is dealing with today’s volatile market, a variety of products, and a supply chain covering 120+ countries – each with its own rules and processes – demand planning, including forecasting, can get a bit gut-wrenching. Such was the case with Danone.

Forecasting 122

Forecasting IT Digital Transformation Machine Learning 122

Smart Data Collective

OCTOBER 8, 2020

Big data plays a role in shifting the risk-reward calculus in the favor of venture capitalists. Venture capital is a high risk, high reward game. Challenges behind signal data acquisition and forecasting with alternative data. Sure, venture capital is unlikely to lose the human element in the selection process.

Big Data 139

Big Data Machine Learning Forecasting Data-driven 139

CIO Business Intelligence

APRIL 29, 2024

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. CIOs and CTOs must also set the rules of the road for using AI and navigate or mitigate potential risk and ethics issues, he says.

Forecasting 135

Forecasting Experimentation Risk Machine Learning 135

CIO Business Intelligence

MAY 28, 2024

For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies.

Strategy 131

Strategy IoT Risk Forecasting 131

Cloudera

AUGUST 3, 2021

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. Advanced analytics empower risk reduction . Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

O'Reilly on Data

JANUARY 22, 2019

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. Time-variant distributions for asset values and risks are the rule, not the exception.

Modeling 153

Modeling Finance Uncertainty Data mining 153

Dataiku

OCTOBER 23, 2024

Actuaries sit at the crossroads of risk, data, and decision making. Every forecast, every model, and every recommendation they make relies on their ability to process and analyze vast, complex datasets.

Forecasting 52

Forecasting Risk Modeling 52

Smart Data Collective

SEPTEMBER 13, 2021

This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. However, value investors cannot use broad data to make risk-free decisions since it is not specific enough. That is why investors can forecast long-term trends using big data.

Big Data 131

Big Data Forecasting Cost-Benefit Machine Learning 131

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It is stocked with data gathered from multiple authoritative sources and available for immediate analysis, forecasting, planning and reporting.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. However, there is one form of AI that will allow businesses to see almost an immediate value: Predictive AI.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137