Smart Data Collective

JUNE 8, 2022

Financial professionals are using data analytics tools to make more informed decisions. 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.

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Algorithm Loss Advantage Advantage 263

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? In smaller companies, too, one can see that they take in more textual information than they can handle. This problem will not stop as more documents and other types of information are collected and stored.

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Analysis Data Analysis Market Segmentation Intelligence 331

CIO

FEBRUARY 10, 2023

Such models enable the assessment of either the promise or risk presented by a particular set of conditions, guiding informed decision-making across various categories of supply chain and procurement events. 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. Chatbots work the same way.

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Algorithm Matrix Pharmaceutical Data Mining 533

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. It ensures that all relevant data and information is consolidated, evaluated and presented in a clear and concise form.

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Human Resources Copywrite Predictive Analytics Algorithm 316

CIO

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.

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IT Globalization Technology Technology 458

CIO

AUGUST 21, 2024

A recent Forrester study shows a growing number of companies feel their workers spend too much time looking for information they need – 40% today vs. 19% just five years ago. Users can get business-specific answers, not generic answers like with consumer large language models, to make better-informed decisions.”

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Gaming Management Algorithm Analysis 503

CIO

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 395

IT Globalization Technology Technology 395

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.

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Algorithm Knowledge Research Learning 539

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

Smart Data Collective

NOVEMBER 1, 2020

Instead, we let the system discover information and outline the hidden structure that is invisible to our eye. 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.

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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

JUNE 13, 2023

If the information is public, why make a distinction? Others are building a new layer of intelligence into their APIs so that smarter, more business-savvy decisions can be made about releasing information. Main constituents: Companies that control access to large blocks of data that can be useful to automated analysis.

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Innovation IT Airline Algorithm 545

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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Data Mining Analysis Business Intelligence Algorithm 525

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

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.”

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Business Algorithm Startups Security 448

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.

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Data Analysis Commerce Finance Analysis 514

Smart Data Collective

DECEMBER 19, 2021

With technological advancement, information has become one of the most valuable elements in this modern era of science. 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. Hence, data preprocessing is essential and required.

Business 354

Business Algorithm Data Mining Data Analysis 354

CIO

JUNE 26, 2024

Charles Kahn, physician, professor, and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine adds that being able to take information about a population and see how an individual differs from the rest of the group makes it possible to intervene by catching conditions early. That’s precision medicine,” he says.

Hospitals 505

Hospitals Algorithm Innovation Technology 505

CIO

AUGUST 1, 2022

Federated learning is a method of training AI algorithms with data stored at multiple decentralised sources without moving that data. An HIS or health information system is designed to manage healthcare data. The IT team also helped to fetch the data from PACS and HIS, which was required for federated learning experiments,” he says.

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CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

Innovation 382

Innovation Algorithm Predictive Analytics Security 382

CIO

OCTOBER 1, 2024

With all these areas spreading their poised feet into the digital era of human transformation, the number of vulnerabilities and open doors to bypass the devices to reach the backend servers, manipulate data, exfiltrate information, compromise systems and harness all the critical information spread across the deep and dark web becomes prominent.

Banking 485

Banking Gaming Security Security 485

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.

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Globalization Startups Algorithm Data Analysis 434

CIO

JANUARY 13, 2023

The final step defines a successful attack, which could be encrypting data for ransom; exfiltrating sensitive data; exposing embarrassing information; or disrupting/destroying targeted systems, devices, or data. This includes hunting and deep, high-end analysis. Data and Information Security, IT Leadership.

Innovation 545

Innovation Intellectual Property Cyberspace Advantage 545

CIO

OCTOBER 19, 2023

To tackle this, enterprises need systems that enable real-time analysis, aggregation, and transformation of incoming data streams. Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. The complexity doesn’t end here. CIO, Data Integration

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Algorithm Gaming Analysis Innovation 476

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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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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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

Smart Data Collective

JANUARY 27, 2021

They have also created numerous opportunities for informed investors to create diversified portfolios and take advantage of a market for assets that provide an exceptional ROI. A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market.

Learning 352

Learning Predictive Analytics Algorithm Benchmarking 352

CIO

OCTOBER 23, 2023

As a global technology company with decades of sustainability leadership , Dell Technologies has a strong point of view informed by data and science, and we’re working with others to chart the path forward. We believe that data analysis and collaboration are key to climate action. And we’re not stopping there.

Algorithm 468

Algorithm Innovation Data Analysis Knowledge 468

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

SEPTEMBER 9, 2022

Organisations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”. For more information on the AI Test Drive by Fujitsu, NVIDIA and NetApp, click here.

Innovation 543

Innovation Algorithm Research Data Analysis 543

CIO

APRIL 12, 2024

Deep learning is a subset of machine learning and revolves around creating artificial neural networks that can intelligently pull together and learn information from several data sources. Torch enables fast and efficient GPU support, focusing on improving flexibility and speed when building complex algorithms.

IT 468

IT Research Algorithm Gaming 468

CIO

NOVEMBER 20, 2023

Companies are now moving toward AI-powered decision-making in customer service—tapping into voice and sentiment analysis to automate complex processes such as recognizing customer intent and taking a recommended action to resolve it. Sales optimization In sales, AI can provide account reps with the information they need to close deals.

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Airline Retail Knowledge Algorithm 493

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

JUNE 14, 2023

Organization: INFORMS Price: US$200 for INFORMS members; US$300 for nonmembers How to prepare: A list of study courses and a series of webinars are available through registration. Candidates show facility with data concepts and environments; data mining; data analysis; data governance, quality, and controls; and visualization.

Data Mining 476

Data Mining Knowledge Data Analysis Analysis 476