Primary Intelligence

JANUARY 23, 2023

Boston and Draper, UT – Primary Intelligence , the leader in win-loss analysis, and Crayon , the premier competitive intelligence platform, today announced a first of its kind integration that seamlessly embeds valuable win-loss insights directly into competitive intelligence deliverables.

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Competitive Intelligence Loss Win Data Analysis 104

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it. Perform quantitative analysis.

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Algorithm Learning Loss Analysis 286

CIO

JANUARY 18, 2023

Transferable skills These are comprised of knowledge, experience, and abilities that make it easier to learn new skills. This person could be an ideal internal candidate for a position in predictive analytics, big data analysis, or even machine learning related roles.

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Knowledge Predictive Analytics Data Analysis Education 750

Datapine Blog

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks?

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Data Analysis Analysis IT KPI 126

CIO

JANUARY 26, 2024

Fueled by cloud Ford’s cloud journey, which began roughly a decade ago, continues to this day, Musser says, as the automaker seeks to take advantage of advances in the key technologies fueling its transformation, including the internet of things (IoT), software as a service, and the latest offerings on Google Cloud Platform (GCP).

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CIO

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. million data points captured in near real-time per match. “We

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Sports Entertainment Knowledge Innovation 571

CIO

OCTOBER 19, 2023

In the near term, corporate US employees will be able to use My Assistant to answer complex questions related to their benefits, as well as take advantage of other personalized use cases around career development, learning, onboarding, data analysis, and more.

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Retail Innovation Knowledge Research 843

Smart Data Collective

JANUARY 9, 2023

Thankfully, there are ways to take advantage of the modern-day widespread access to data and truly get the most value possible from it. The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis.

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CIO

NOVEMBER 30, 2022

Yet amassing and extracting value from these large amounts of data is difficult for humans to keep up with, as the number of data sources and volume of data only continues to grow exponentially. Current data monitoring and analysis methods are no longer sufficient. Analytics, IT Leadership

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Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

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Algorithm Business Data Mining Data Analysis 338

Smart Data Collective

MAY 13, 2022

AI and machine learning. Before you can have AI-driven apps, you need to train a machine learning model to do the work. This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans.

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Business Predictive Analytics Business Intelligence Analysis 337

Smart Data Collective

NOVEMBER 12, 2022

If you are considering a data analyst career, here are some reasons that may help solidify your decision. Unsurprisingly, those pursuing careers in data analysis are highly sought after. As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills.

Data Analysis 288

Data Analysis Data Mining Education Retail 288

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Definition: Data Mining vs Data Science. Machine learning.

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Data Mining Analysis Predictive Analytics Data Analysis 357

Smart Data Collective

MARCH 27, 2023

As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand. Join the data revolution and secure a competitive edge for businesses vying for supremacy. as this will set you apart from other applicants.

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Algorithm Data Analysis Education Predictive Analytics 228

Smart Data Collective

FEBRUARY 1, 2023

Any sports player or fan should be aware that data analysis has become a significant part of sports. As individuals and teams seek to gain an advantage over the opposition, analyzing data and using the results to shape your performance is one of the best ways to get ahead. Billion by 2026.

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Sports Gaming Briefing Win 233

CIO

JANUARY 4, 2023

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

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Benchmarking Advantage Advantage Technology 371

Smart Data Collective

DECEMBER 9, 2021

Big Data is Leading to Monumental Changes in Accounting. The advent of AI, machine learning, big data, and blockchain technology are already transforming how many businesses handle their daily operations. AI and Machine Learning. AI and machine learning are poised to play a major part in the future of several industries.

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Technology Technology Data Analysis Analysis 309

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.

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Algorithm Loss Data Mining Analysis 332

FedSavvy

APRIL 23, 2024

Work covers logistics, sustainment, deployment, business intelligence, data analysis, software design, and integration. The CoE uses the full generative AI technology stack, including foundation models and more than 50 domain-specific classical machine learning accelerators to help clients improve productivity and innovation.

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Alliance Win Data Analysis Benchmarking 130

Netbasequid

APRIL 12, 2023

A competitive analysis will tell you all you need to know about your competitor’s activities and performance and help you identify hidden opportunities and mitigate emerging threats. What is a Competitive Analysis? Competitive analysis helps you maintain a competitive footing by deeply understanding a competing brand.

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Analysis Competitive Competitive Intelligence Competitive Landscape 111

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Regardless of your industry, AI’s greatest assets are its ability to learn new things.

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Data Mining Data Analysis Analysis Finance 265

Smart Data Collective

MARCH 18, 2020

These solutions need to be easier to adapt to using artificial intelligence and machine learning technology. They need to take into account the latest trends with businesses going online and the vast amount of data on the internet. Let’s have an overview of its functionality to take full advantage of your data.

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KPI Data Analysis Advantage Advantage 244

Smart Data Collective

SEPTEMBER 2, 2021

A number of online video production companies are embracing similar big data and machine learning technology. They are even leveraging the data-driven video processing tools to create high-quality videos and process 4K HEVC videos. Everyone has something to gain from data analysis. The volume of data is exploding.

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Smart Data Collective

MARCH 29, 2023

AI has a significant advantage in manufacturing. With the help of machine learning algorithms, vehicles can now navigate roads and highways without human intervention. With the help of sensors and data analysis, AI algorithms can predict when a vehicle is likely to experience a mechanical problem or breakdown.

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Algorithm Data Analysis Competitive Advantage 241

Smart Data Collective

MARCH 16, 2022

In other cases, advanced AI applications use a deep-learning approach to sift through big data to predict the prices of stocks in the near future. There are no full AI operations that focus explicitly on using location data. However, deep-learning approaches are comprehensive in theory. How will this happen?

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Loss Finance Predictive Analytics Analysis 262

IT Business Edge

JUNE 20, 2022

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how it works with machine learning. Also read: Best Machine Learning Software. Machine Learning 101. Data import.

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Learning Algorithm Matrix Data Analysis 68

Smart Data Collective

NOVEMBER 24, 2020

Therefore, you’ll rely on data-backed knowledge when deciding what chains of your productions should be eliminated or boosted. Another important benefit to expect in the future of BI is instant access to important data, fast analysis, and easy-to-read presentations in charts and reports. Advantage: unpaired control over data. .

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Business Intelligence Intelligence Intelligence Business 328

Smart Data Collective

NOVEMBER 28, 2022

The expertise barriers have also been lowered, with onboarding rendered simple and quick – today, even non-data experts can set themselves up and make data-based strategic decisions on an ongoing basis. Through machine learning, even basic tools can crunch historical data and provide predictions readily.

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Business Business Intelligence Intelligence Intelligence 267

Elegant BI

JANUARY 30, 2019

If a business wants to encourage adoption of advanced Data Analysis tools, it must provide Learning for Citizen Data Scientists , and nothing is better than learning by doing. While they are performing Advanced Analytics , they are learning and becoming power users. Data Literacy.

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Learning Education Data Analysis Algorithm 52

Smart Data Collective

FEBRUARY 20, 2022

Also, AWS data protection services provide encryption and key management, as well as threat detection for continuous monitoring and protection of your accounts and workloads. The analysis of tons of data for your SaaS business can be extremely time-consuming, and it could even be impossible if done manually. Easy to use.

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Security Security Human Resources Startups 288

Smart Data Collective

DECEMBER 14, 2020

Big data helps with this by enabling you to manage deliveries in real time, which is key to supply chain management. Use up-to-date information to learn about traffic and weather conditions, for example, and the location of transport carriers. Today, we have big data to handle this work for us. web, mobile, and social).

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Retail Management Commerce Analysis 277

Datapine Blog

OCTOBER 7, 2020

By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. In essence, they are able to learn from historical data and adjust for present and future operational and strategic performance.

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KPI Advantage Advantage Human Resources 107

Smart Data Collective

JUNE 8, 2021

There are also a lot of content generation and split testing tools that have their own machine learning algorithms built into the framework. Keep reading to learn more! The advantages of this method in digital strategy is practically guaranteed. Here are some of the core benefits of using AI in PPC marketing: Data analysis.

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mention

MARCH 8, 2024

It is derived from an analysis of multiple factors that contribute to the perception of the business. How Reputation Scores are Calculated Reputation scores are calculated using sophisticated algorithms and data analysis. Competitive Advantage Reputation scores serve as a differentiator in a crowded marketplace.

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Business Airline Algorithm Analysis 157

Smart Data Collective

MAY 17, 2023

There are hundreds of products available, each with different advantages, drawbacks, and price points. AI has a number of benefits for ERP software: AI technology can improve how ERP software handles and analyzes data. The AI can learn and make intelligent decisions, simplifying tasks like accounting and payroll administration.

Technology 237

Technology Technology Data Analysis Intelligence 237

Owler

JANUARY 27, 2022

Market research is the analysis of the needs , preferences, and challenges of your target market. Source ) Tableau offers a free, user-friendly data visualization service for complex market data analysis, wherein a user can easily segment data based on demographics, geography, etc. Learn more

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Market Research Marketing Research Advantage Advantage 52

ArchIntel

MARCH 31, 2021

According to the article, one advantage of employing OSINT techniques is that it allows smaller or private companies to save money that they would otherwise invest on data collecting tools. Another advantage of using OSINT is that it gives business owners and decision-makers a broader view of their investigations. ArchIntel™ -.

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