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 122

IT Insurance Consulting Risk 122

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

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

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

Smarten

FEBRUARY 19, 2025

In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. Forecasting and planning cannot be based on opinions or guesswork. Like every other business, your organization must plan for success.

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

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

CIO Business Intelligence

APRIL 10, 2025

Cost transparency and accurate budget forecasting are two major parts of the TBM framework, Guarini says. Energy use has become an important expense to monitor as well, along with more traditional IT costs and risk management. Its important for organizations to carefully monitor consumption and usage, Maddaloni says.

ROI 96

ROI Optimization Risk Management Forecasting 96

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 272

Big Data Technology Machine Learning Deep Learning 272

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 207

Modeling Finance Uncertainty Data mining 207

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

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. The decisions you make, the strategies you implement and the growth of your organizations are all at risk if data quality is not addressed urgently. Manual entries also introduce significant risks.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

Smart Data Collective

JULY 31, 2022

Traders will have to use it to manage their risks by making more informed decisions. Compared to the Spring Forecast, Russia’s action against Ukraine continues to harm the EU economy, causing weaker growth and greater inflation. in 2023, according to the Summer 2022 (interim) Economic Forecast. in 2022 and 1.5%

Predictive Analytics 145

Predictive Analytics Analytics Uncertainty Forecasting 145

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

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 339

Enterprise Testing Modeling Reporting 339

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

O'Reilly on Data

MAY 21, 2019

Modernize existing applications such as recommenders, search ranking, time series forecasting, etc. The technologies I’ve alluded to above—data governance, data lineage, model governance—are all going to be useful for helping manage these risks. There are real, not just theoretical, risks and considerations.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

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

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

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

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

FEBRUARY 14, 2023

Before you can create a strategy, you must determine your risk tolerance. Finding the right balance between risk and reward is all about your establishing personal investment goals. Once you have outlined your risk tolerance, you will have an easier time using predictive analytics tools to improve your asset allocation strategy.

Predictive Analytics 132

Predictive Analytics Management Analytics Uncertainty 132

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