Smart Data Collective

JUNE 8, 2022

They have been a successful algorithmic trader for the past 17 months. This trader never imagined that their life would be completely transformed by becoming an algorithmic trader. What is algorithmic trading and what role does data analytics play? This automated trading with rule-based trading bots is algorithmic trading.

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Algorithm Loss Advantage Advantage 263

Smart Data Collective

OCTOBER 4, 2021

Utilizing conversational analysis can reveal which business locations are excelling and which aren’t, which advertisements connect with customers, and what they think of new products. Conversational analysis can reveal what matters most to your customers and what influences their decisions most. What is Conversational Analysis?

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Analysis Restaurants Algorithm Data Analysis 334

Smart Data Collective

SEPTEMBER 17, 2020

Would your business benefit from the use of data analysis? What is Data Analysis? The term data analysis refers to the recovery of useful information from data. How is Data Analysis Undertaken? Why Should You Use Data Analysis? All of these details and more can be determined through simple data analysis.

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Data Analysis Analysis Algorithm Win 323

Smart Data Collective

MAY 1, 2022

Businesses are including more of it in their companies and adopting methods like AI text analysis. . What is text analysis? This is where text analysis comes into the picture. Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text.

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Analysis Data Analysis Market Segmentation Intelligence 331

CIO

FEBRUARY 10, 2023

Its flagship tool, Pipe Sleuth, uses an advanced, deep learning neural network model to do image analysis of small diameter sewer pipes, classify them, and then create a condition assessment report. Clustering algorithms, for example, are well suited for customer segmentation, community detection, and other social-related tasks.

Predictive Analytics 545

Predictive Analytics Hospitals Algorithm Pharmaceutical 545

CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next. Google Cloud Translation.

Algorithm 533

Algorithm Matrix Pharmaceutical Data Mining 533

CIO

NOVEMBER 1, 2024

Marsh McLennan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. It’s very fragmented, ownership is often unclear, quality is a variable, but we have teams really working on that and generating data faster than we can possibly catalog and clean up.”

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IT Globalization Technology Technology 458

Smart Data Collective

JULY 16, 2023

When it comes to predicting future price movements in the market, technical analysis emerges as the most powerful weapon at our disposal. Technical analysis is a calculated science based on historical and real data, not some hocus-pocus or game of chance. Charts, indicators, and oscillators are just a few of the many tools available.

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Analysis Algorithm Data Analysis Innovation 245

CIO

OCTOBER 13, 2023

AI researchers help develop new models and algorithms that will improve the efficiency of generative AI tools and systems, improve current AI tools, and identify opportunities for how AI can be used to improve processes or achieve business needs.

Algorithm 539

Algorithm Knowledge Research Learning 539

CIO

NOVEMBER 1, 2024

Marsh McLellan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. It’s very fragmented, ownership is often unclear, quality is a variable, but we have teams really working on that and generating data faster than we can possibly catalog and clean up.”

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IT Globalization Technology Technology 395

CIO

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. An important aspect of workforce planning is identifying gaps between current headcount and future anticipated needs.

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Human Resources Copywrite Predictive Analytics Algorithm 316

CIO

AUGUST 21, 2024

It can perform data extraction, sentiment analysis, and language detection, as well as document classification. Speech-to-text uses advanced ML algorithms to transcribe audio files into readable text so it can be more easily classified by an ECM, searched, and more.

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Gaming Management Algorithm Analysis 503

Smart Data Collective

NOVEMBER 1, 2020

Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Overall, unsupervised algorithms get to the point of unspecified data bits. Source ].

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Learning Data Mining Matrix Algorithm 363

CIO

SEPTEMBER 27, 2024

Gen AI in practice is a special case of Euronics’ strategy that concerns data and analysis , and the task of those who direct it — the CIO or the CDO — is to understand when to apply it, and when not to. We have a positive effect on sales thanks to the analysis of data on the consumer’s search intent provided by the Criteo platform.”

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Management Hospitals IT Commerce 480

CIO

JANUARY 13, 2023

Empty shelves cost US retailers $82 billion in missed sales in 2021 alone, according to an analysis from NielsenIQ. As it learns, the algorithm can optimize how and what products are shown for accuracy, relevance, and the likelihood of making a sale, Google said, adding that the capability can be used on different pages within a website.

Commerce 500

Commerce Retail Algorithm Learning 500

CIO

JANUARY 26, 2024

Google Cloud’s strength in data analysis and AI tools is a perfect fit for this new world of software-defined vehicles,” McCarthy says. “It It will enable Ford to better understand how their vehicles are performing in the field and lead to future improvements.”

Business 448

Business Algorithm Startups Security 448

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

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Management Predictive Analytics Data Mining Data Analysis 508

Smart Data Collective

DECEMBER 19, 2021

Accordingly, before using that data in machine learning or an algorithm, you need to convert it into a precise format suitable for the system to inherit it. For instance, the Random Forest Algorithm in Python doesn’t support null values. Hence, data preprocessing is essential and required. Python as a Data Processing Technology.

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Business Algorithm Data Mining Data Analysis 354

mention

MAY 30, 2024

Emotion analysis is a blend of psychology and technology in which human feelings are translated into data. That’s what emotion analysis works towards. The magic lies in the NLP algorithms that sift through text—tweets, reviews, or conversations—and identify the emotional content.

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mention

MAY 30, 2024

Emotion analysis is a blend of psychology and technology in which human feelings are translated into data. That’s what emotion analysis works towards. The magic lies in the NLP algorithms that sift through text—be it tweets, reviews, or conversations—and identify the emotional content.

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Analysis Algorithm Research Technology 162

CIO

JUNE 13, 2023

Main constituents: Companies that control access to large blocks of data that can be useful to automated analysis. On one, privacy advocates are building clever algorithms that reveal just enough information to pass through whatever identity check while keeping everything else about a person secret. See here and here , for instance.)

Innovation 545

Innovation IT Airline Algorithm 545

CIO

AUGUST 1, 2022

Federated learning is a method of training AI algorithms with data stored at multiple decentralised sources without moving that data. The SFLP allows access to diverse data source without compromising the data privacy, because data remains at the source, while the model training happens from multiple data sources.

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Learning Security Security Hospitals 368

mention

APRIL 11, 2024

Sentiment analysis has become an essential tool in interpreting the vast amounts of textual data generated daily online. Imagine having the superpower to understand the collective mood of your customers through their tweets, reviews, or feedback – that’s exactly what sentiment analysis works towards. What is Sentiment Analysis?

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Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance. In reinforcement learning the algorithm teaches itself how to complete a task.

Algorithm 334

Algorithm Travel Commerce Analysis 334

CIO

JANUARY 14, 2025

Challenge 2: Leaving on-premises data behind For AI algorithms to be successful, they need a massive amount of historical data to draw from. Remember the garbage in, garbage out adage: The more clean data available to an AI algorithm, the more predictive and fine-tuned the results will be.

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CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data scientists say that investigating something with data is simply analysis. Data science takes analysis another step to explain and solve problems. What is data science?

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Analysis Data Mining Business Intelligence Algorithm 525

Smart Data Collective

FEBRUARY 21, 2020

For example, most lenders have historically offered a wide range of different loan options to consumers ; but today, with better access to consumer data, lenders can do a more intelligent risk analysis of each individual customer. Another breakthrough has been statistical analysis as it relates to the stock market and other investments.

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Banking Algorithm Predictive Analytics Startups 361

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. In the early days of cryptocurrency trading, investors had a proclivity for relying on traditional fundamental analysis for asset valuation. The trading volume for that cryptocurrency on that particular day.

Learning 352

Learning Predictive Analytics Algorithm Benchmarking 352

CIO

AUGUST 9, 2022

This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation. Nevertheless, most organizations face growing problems around users’ trust in algorithms. In order to overcome this issue, the applications running AI algorithms must be designed to build confidence in the outcomes.

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Win Algorithm Market Intelligence Intelligence 397

CIO

MARCH 21, 2022

The final results of a data scientist’s analysis must be easy enough for all invested stakeholders to understand — especially those working outside of IT. A data scientist’s approach to data analysis depends on their industry and the specific needs of the business or department they are working for. Data scientist salary.

Commerce 514

Commerce Data Analysis Finance Analysis 514

CIO

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. Anomaly detection Anomaly detection algorithms can identify unusual patterns in data that might indicate errors, fraud, or emerging trends.

Innovation 382

Innovation Algorithm Predictive Analytics Security 382

CIO

AUGUST 28, 2024

It enables faster and more accurate diagnosis through advanced imaging and data analysis, helping doctors identify diseases earlier and more precisely. AI is revolutionizing healthcare by enhancing diagnostics, personalizing treatment, and improving patient care.

Globalization 434

Globalization Startups Algorithm Data Analysis 434

CIO

JUNE 26, 2024

An AI first at Penn The AI-based CT scan analysis system is one of the first to be deployed into a clinical practice, in part because research-driven academic medical practices can build and run their own tools without going through the rigorous process that healthcare product manufacturers face to get approval from the FDA.

Hospitals 505

Hospitals Algorithm Innovation Technology 505

mention

NOVEMBER 3, 2023

Sentiment analysis offers a dynamic lens through which marketers can gain invaluable insights into the thoughts, attitudes, and emotions of their customer base. Often referred to as opinion mining, sentiment analysis is a computational technique that involves the extraction of subjective information from textual or verbal data.

Analysis 173

Analysis Marketing Marketing Benchmarking 173

CIO

AUGUST 18, 2023

The platform then makes this connected data accessible to Lilly’s data and analytics experts, who in turn create algorithms to better understand the disease journey, help measure the effect of Lilly medicines, and build new products that support successful patient outcomes.

Intelligence 370

Intelligence Intelligence Pharmaceutical Algorithm 370

CIO

OCTOBER 6, 2022

In manufacturing, finite element analysis, computer vision, electronic design automation and computer-aided design are facilitated by AI and HPC to speed product development, while analysis generated from Internet-of-Things (IoT) data can streamline supply chains, enhance predictive maintenance regimes and automate manufacturing processes.

Innovation 370

Innovation Profiling Algorithm Analysis 370

CIO

MARCH 18, 2024

is at the forefront of cybersecurity, specializing in real-time detection, analysis, and mitigation of cyber threats. Its advanced machine learning algorithms and expert analysis help organizations detect, identify, and respond to cyber threats. About ThreatHunter.ai ThreatHunter.ai

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Algorithm Analysis Security Security 435