David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. It also offered a chatbot that utilized Amazon Lex.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London) Regions.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

Dataiku

JULY 8, 2020

Not only can organizations leverage data science and machine learning for things like time savings, more efficient processes, and cost optimization, but they can also use it for fully automated cash flow forecasting that can produce results precise enough for the modern enterprise and a changing environment.

Forecasting 109

Forecasting Machine Learning Data Science Optimization 109

CIO Business Intelligence

OCTOBER 24, 2024

By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. Still, after 2028, it will be difficult to buy a device that isn’t AI optimized. “We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. So let’s introduce Cloudera Machine Learning (CML) and discuss how it addresses the aforementioned silo issues.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

Visualization 145

Visualization Optimization Analytics Testing 145

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

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Even basic predictive modeling can be done with lightweight machine learning in Python or R. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution. And guess what? You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

DECEMBER 11, 2019

Even if figures diverge somewhat, the many forecasts conducted on SaaS industry trends 2020 demonstrate an obvious reality: the SaaS market is going to get bigger and bigger. SaaS Industry is forecasted to reach $55 billion by 2026. A Betterbuys report reveals that the specific expenditure in the U.S. How will AI improve SaaS in 2020?

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Smart Data Collective

MAY 22, 2019

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Using machine learning to develop more engaging pictures.

Optimization 101

Optimization Marketing Big Data Machine Learning 101

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. Analytics would allow users to gain immediate insights into circumstances.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

AWS Big Data

APRIL 11, 2023

Forecasting is another critical component of effective inventory management. Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. The following diagram illustrates a sample architecture. The solution includes the following components.

Forecasting 98

Forecasting Management IoT Data-driven 98

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. The idea, Beswick says, was to enable the creation of an application in days — which set a.

IT 122

IT Insurance Consulting Risk 122

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

APRIL 5, 2022

But the latest analytics tools, powered by machine learning algorithms, can help companies predict demand more effectively, enabling them to adjust production and shipping operations. The company is using a platform called Service Optimizer 99+ from ToolsGroup for demand planning, inventory optimization, and replenishment planning.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Smart Data Collective

AUGUST 29, 2022

It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. You will get even more value out of analytics if you leverage machine learning at the same time. This is why businesses are looking to leverage machine learning (ML).

Analytics 132

Analytics Predictive Analytics Machine Learning Insurance 132

IBM Big Data Hub

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Accelerated learning. Quantum to come.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. Since these blog posts were written, a lot has happened in the world and in machine learning. How to lower the carbon footprint of your ML.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Forecast Time Series at Scale with Google BigQuery and DataRobot. Learn how to check explainability along the experiment and model lifecycle.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

NOVEMBER 1, 2024

It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. The idea, Beswick says, was to enable the creation of an application in days — which set a.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Grow Inventory Forecasting, Grow BI, and Grow FP&A are generally available.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

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. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Most use master data to make daily processes more efficient and to optimize the use of existing resources.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

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. It leverages techniques to learn patterns and distributions from existing data and generate new samples.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

DataRobot Blog

APRIL 15, 2022

There is a need to optimize supply to meet demand. One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. Learn more.

Forecasting 52

Forecasting Optimization Measurement Machine Learning 52

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. Learning MATLAB is a great bonus for those who want to pursue a career in (academic) research.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. In tech speak, this means the semantic layer is optimized for the intended audience. This can save budget owners time and shorten planning cycles.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130