Smart Data Collective

JANUARY 14, 2021

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. In theory, IPO investors have more opportunities to outperform the market then investors looking towards more established stocks.

Predictive Analytics 90

Predictive Analytics Forecasting Analytics Machine Learning 90

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 91

Data Architecture Risk Management Risk Management 91

Jet Global

NOVEMBER 16, 2020

It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. Learn how to enable complex planning and forecasting processes. Understand how to reduce tax errors and improve productivity.

Forecasting 98

Forecasting Snapshot Finance Recreation/Entertainment 98

Jet Global

DECEMBER 21, 2020

In the more modern terminology of business, we could rephrase that to say “be careful about concentration risk.”. When an organization is too reliant on one company or market segment to drive revenue or ensure an adequate product supply, it creates concentration risk. Vendor Concentration Risk.

Risk 98

Risk Sales Reporting Forecasting 98

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

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk. Did you know? Where is all of that data going to come from?

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. However, the same principles can be applied to nontraditional assets more effectively, because they are in less efficient markets. Bitcoin’s price is notoriously volatile.

Predictive Analytics 142

Predictive Analytics Analytics Forecasting Machine Learning 142

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. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

JULY 31, 2022

Traders can have even more difficulty identifying the best investing opportunities as market volatility intensifies. Predictive Analytics Helps Traders Deal with Market Uncertainty. Traders will have to use it to manage their risks by making more informed decisions. The EU economy is expected to increase by 2.7% percent in 2023.

Predictive Analytics 141

Predictive Analytics Analytics Uncertainty Forecasting 141

datapine

MARCH 25, 2022

In a business context, this method identifies patterns and trends and can forecast inventory, predict customer responses to new products, assess risks, among others. Most BI software in the market are self-service. Usage in a business context. In this case, not only the end-user changes but also the purpose of use.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

MARCH 2, 2023

It helps companies operate more efficiently, tap larger markets of customers, and solve some of their most complex challenges. Data analytics helps companies make better pricing decisions Anybody who has ever taken a business class understands the four “P’s” of marketing. In 2023, big data Is no longer a luxury.

Big Data 93

Big Data Uncertainty Risk Data mining 93

CIO Business Intelligence

NOVEMBER 26, 2024

By integrating real-time data into traditional forecasting models, AI improves the accuracy of predictions related to revenue, expenses, and cash flow. Integrating market data, transactional data, and economic indicators often results in data silos and inconsistencies, which complicates obtaining a comprehensive financial overview.

Forecasting 111

Forecasting Risk Reporting Marketing 111

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 Consulting 135

CIO Business Intelligence

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

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 211

Big Data Technology Machine Learning Deep Learning 211

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. Good examples of these data points are market trends, significant shifts in the industry, and talent information, obtained from alternative sources.

Big Data 137

Big Data Machine Learning Forecasting Data-driven 137

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

O'Reilly on Data

JANUARY 22, 2019

At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. By contrast, market participants have trouble explaining the causes of daily market movements or predicting the price of a stock at any time, anywhere in the world. Finance is not physics.

Modeling 135

Modeling Finance Uncertainty Data mining 135

CIO Business Intelligence

JULY 18, 2022

Organizations that do not invest in the short term will likely fall behind in the medium term and risk not being around in the long term,” warned Lovelock in a statement. These market trends could put small and medium-size businesses, in particular, in a difficult position, according to Gartner senior principal analyst Linglan Wang.

IT 144

IT Uncertainty Sales Data-driven 144

CIO Business Intelligence

DECEMBER 18, 2024

Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs. GenAI is also helping to improve risk assessment via predictive analytics.

Forecasting 69

Forecasting Predictive Analytics Risk Finance 69

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. in 2022 to $623 billion globally.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

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. Value investors use this type of data to analyze different markets and industries. That is why investors can forecast long-term trends using big data. Concentrated and Slow.

Big Data 121

Big Data Forecasting Cost-Benefit Machine Learning 121

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive Analytics Continues to Shape the Altcoin Market. Some people might have been overly optimistic about the future of the market.

Predictive Analytics 101

Predictive Analytics Analytics Forecasting Marketing 101

datapine

SEPTEMBER 4, 2019

In the recent years, dashboards have been used and implemented by many different industries, from healthcare, HR, marketing, sales, logistics, or IT, all of which have experienced the importance of dashboard implementation as a way to reduce cost and increase the productiveness of their respected business. Choose the right type of dashboard.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. For example, marketing managers can run a cluster analysis to segment customers by their buying pattern or preferences. Let’s dig deeper. Clustering. ?lustering

Analytics 127

Analytics Predictive Analytics Machine Learning Insurance 127

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

IBM Big Data Hub

MARCH 25, 2024

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Longer-term local climate change risks might still devalue property that hasn’t suffered damage. As a result, their market would shrink.

Insurance 85

Insurance Forecasting Risk Risk Management 85

Jedox

SEPTEMBER 29, 2021

Those are all good approaches, but SPM must be holistic and combine those approaches and offer better planning, forecasting, and control of different stages of sales processes. Without a unified approach, SPM systems may not be able to provide full insights, and the monitoring and on-going forecasting will be more challenging.

Sales 99

Sales Management Forecasting Risk 99

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 277

Enterprise Modeling Testing Reporting 277

Smart Data Collective

SEPTEMBER 19, 2022

They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Improving Risk Assessment. Data analytics fintech provides crucial information financial institutions need to build a robust risk assessment strategy. Forecasting Future Market Trends.

Big Data 137

Big Data ROI Measurement Machine Learning 137

datapine

JUNE 15, 2023

By being able to make informed decisions, you’ll ensure your goals are being met with less financial risk, thanks to smart resource allocation. This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

Far from static, supply chain managers must constantly adjust to changing market conditions and prices, as well as adapt to unforecastable disruptions. This helps them maintain optimal inventory levels, reducing costs as well as the risk of overstocking or stockouts.

Management 130

Management IT Sales Manufacturing 130

Smart Data Collective

AUGUST 30, 2020

As it is the case with any venture, there are some risks that are inherent to the housing market. Being able to mitigate these risks and navigate various market trends is essential for generating a profit,” Mashvisor notes. If nothing else, it allows investors to eliminate properties that are considered high-risk.

Big Data 126

Big Data Risk Data-driven Marketing 126

CIO Business Intelligence

DECEMBER 14, 2023

How AI and generative AI can help Innovative product design Generative AI is augmenting human-based product design efforts and helping to accelerate innovation, enabling a virtuous cycle of market leadership through competitive advantage. Generative AI can help mitigate these often serious risks.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

CIO Business Intelligence

DECEMBER 10, 2024

Raduta recommends several metrics to consider: Cost savings and production increases when gen AI targets efficiencies and automation; Faster, more accurate decision-making when gen AI is used to analyze large datasets; Time-to-market and revenue when gen AI drives product innovation by generating new ideas and prototypes.

Sales 142

Sales Metrics Data-driven Measurement 142