CIO

MAY 30, 2024

If you want to learn more about generative AI skills and tools, while also demonstrating to employers that you have the skillset to tackle generative AI projects, here are 10 certifications and certificate programs to get your started. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

Knowledge 861

Knowledge Education Finance Banking 861

Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? Well, machine learning is almost the same.

Learning 337

Learning Data Mining Matrix Algorithm 337

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Learning 270

Learning IT Data Analysis Analysis 270

CIO

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends.

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IT Analysis Security Security 725

Smart Data Collective

JULY 4, 2021

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning?

Learning 358

Learning Management Banking Commerce 358

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 287

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics methods and techniques.

Management 847

Management Predictive Analytics Data Mining Data Analysis 847

Zoominfo

MARCH 25, 2021

People seeking to add value through innovation depend on applications or data to achieve their objectives. Consider these 7 advantages and disadvantages when learning to code as a digital marketer: 1. Analyze Data. Performance in the modern world is premised on data analysis in nearly every field.

Learning 246

Learning Marketing Marketing Data Analysis 246

CIO

FEBRUARY 12, 2024

From customer service interactions to data analysis, genAI has already shown remarkable progress in streamlining processes and increasing efficiency. Learn more in our new white paper, “ From Productivity Paradox to Abundance Agenda: Jobs, Growth, and Inclusion with GenAI.” Artificial Intelligence, Machine Learning

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Security Security Innovation Data Analysis 880

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. That being said, it seems like we’re in the midst of a data analysis crisis.

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Data Analysis Analysis IT KPI 126

CIO

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. Organization: Columbia University Price: Students pay Columbia Engineering’s rate of tuition (US$2,362 per credit).

Data Mining 793

Data Mining Knowledge Data Analysis Analysis 793

Smart Data Collective

JULY 31, 2019

Link building basics are easy to grasp, even if you’re completely new to the strategy, but if you want to succeed long-term, you’ll need something more: the ability to measure and analyze data related to your campaign. So why are data analysis skills so important here, and what steps can you take to improve your results?

Data Analysis 202

Data Analysis Analysis Competitor Analysis Algorithm 202

CIO

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The company now has several business processes fully automated with homegrown code and AI.

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Knowledge Retail Technology Technology 837

CIO

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type.

Sports 740

Sports Gaming Predictive Analytics Data Analysis 740

CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The exam is designed for seasoned and high-achiever data science thought and practice leaders.

Knowledge 793

Knowledge Data Mining Predictive Analytics Learning 793

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.

Knowledge 747

Knowledge Predictive Analytics Data Analysis Education 747

CIO

APRIL 24, 2024

The data platform and digital twin AMA is among many organizations building momentum in their digitization. Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” million tons of waste annually.

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Innovation Startups Business Intelligence Commerce 662

CIO

FEBRUARY 20, 2024

A world full of data is literally at your fingertips and on your screen waiting to be queried.” Learn more about Microsoft Copilot and see how a doctor uses Copilot to reduce the time it takes to complete her documentation or how a nurse can use Copilot to communicate better with a patient. Meet them both here to learn more.

Data Analysis 405

Data Analysis Analysis Globalization Research 405

CIO

NOVEMBER 13, 2023

So if you are seeking to lead transformational change at your organization, it’s worth knowing the 10 most common reasons why digital transformation fails and what you as an IT leader can learn from those failures. Resistance to change Change is hard, and digital transformation requires a lot of it.

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Capital Innovation Technology Technology 897

CIO

SEPTEMBER 19, 2023

Following is our analysis of the 12 most popular ways AI is being used across all industries in the enterprise today, as companies seek to capitalize on artificial intelligence’s promise to improve customer service, cut business costs, and supercharge business processes.

Airline 887

Airline Predictive Analytics Analysis Commerce 887

CIO

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack. Incorporating data intelligence solutions improve workflows and decision-making.

Innovation 609

Innovation Data Analysis Competitive Security 609

CIO

NOVEMBER 20, 2023

So, while understanding and decoding complex human DNA is the key to mitigating or curing diseases, it mandates working with massive and highly sophisticated data sets. Using that speed and intelligence together with various data sets and use cases, TGen translates lab discoveries into better patient treatments at an unprecedented pace.

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Research Profiling Data Analysis Intelligence 828

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.

Sports 615

Sports Entertainment Knowledge Innovation 615

CIO

OCTOBER 16, 2023

is the most common security protocol on the internet, it offers several advanced features, like data encryption, to create a secure communication channel between two endpoints. This capability enables streamlined workflows, improved data accuracy, and efficient data analysis.  Protocols can include certified TLS 1.3

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Security Security Data Analysis Business Intelligence 792

CIO

FEBRUARY 26, 2024

Netflix does a great job of utilizing AI and user data. In drug trials, AI data analysis predicts how patients respond to certain drugs and continually monitors patient data during clinical trials. What lessons can be learned? What generative AI does best is alleviate the busy work that burns people out.

Business 617

Business Innovation Data Analysis Intelligence 617

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.

Competitive Intelligence 104

Competitive Intelligence Loss Win Data Analysis 104

CIO

OCTOBER 19, 2023

“Our people make the difference” — a common catchphrase of Walmart founder Sam Walton — still guides the company’s path forward as it ventures into the future with generative AI. Personifying this belief is Walmart’s new gen AI–powered My Assistant, which it launched in August to improve the productivity of its 50,000 US-based corporate employees.

Retail 856

Retail Innovation Knowledge Research 856

CIO

JUNE 12, 2023

It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. It’s all called AI, she says.

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Sales Airline Data Analysis Analysis 325

CIO

OCTOBER 25, 2023

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

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Security Security Intellectual Property Loss 835

CIO

MAY 9, 2024

Even after deploying traditional solutions, organizations encounter persistent challenges in managing their data effectively. Data replication and synchronization issues frequently arise, leading to inconsistencies and inaccuracies in data analysis and reporting. Digital Transformation

Capital 325

Capital Innovation Security Security 325

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.

Learning 68

Learning Algorithm Matrix Data Analysis 68

CIO

SEPTEMBER 9, 2022

Fujitsu, in collaboration with NVIDIA and NetApp launched AI Test Drive to help address this specific problem and assist data scientists in validating business cases for investment. However, for all the promise of AI, there remain challenges. Gartner research suggest that only 54 per cent of AI projects make it from pilot to production.

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Innovation Algorithm Research Data Analysis 905

CIO

MAY 20, 2024

From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. A mix of IT mainstays and business differentiators, these “top-of-mind” projects hint at where IT is headed in years ahead.

IT 889

IT Data Analysis Security Security 889

CIO

JANUARY 26, 2024

Ford is unique among large automotive manufacturers in its selection of GCP, which Dave McCarthy, research vice president of cloud and edge services at IDC, says provides Ford a strong foundation for data-driven operations. Ford Motor Co.’s People don’t think of a large, 100-year-old manufacturing company as high tech.”

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Business Algorithm Startups Security 747

Chris Webb BI

MARCH 23, 2023

If, like me (and Ruth ), you spend your life in Power BI but have a lingering feeling that you should get round to learning Python for data analysis sometime then here’s something you should check out: the new Data Wrangler extension for Visual Studio Code.

Data Analysis 285

Data Analysis Analysis Learning IT 285

CIO

NOVEMBER 14, 2022

Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. For example, a business DSS might help a company project its revenue over a set period by analyzing past product sales data and current variables. Clinical DSS. ERP dashboards.

Data Mining 904

Data Mining Business Analysis Knowledge 904

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 339