Flipboard

JANUARY 15, 2025

are tapping AI to help draft police reports, but a new white paper from the American Civil Liberties Union points to the risks of its rapid adoption. Several police agencies across the U.S.

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DataRobot Blog

JULY 5, 2022

At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency. White Paper. Leveraging Geospatial Data and Analysis with AI.

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DataRobot Blog

JULY 22, 2022

Automated machine learning (AutoML) tools make building hundreds of models almost as easy as building only one. As a first step, download the latest DataRobot white paper, “ What Risk Managers Need to Know about AI Governance ,” to learn about our dynamic model management and monitoring solutions. White Paper.

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Flipboard

JUNE 12, 2025

While many organizations continue to rely on traditional reactive models, forward thinking companies are using AI and machine learning to anticipate customer needs before they arise, creating loyalty and sustainable competitive advantage. Related Article: What Is Predictive Analytics? Customers want solutions, not small talk.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Download the free, unabridged version here.

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Smart Data Collective

SEPTEMBER 15, 2019

Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. What motivated you to participate?

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Smart Data Collective

APRIL 1, 2020

The Science and Information Organization talks about this in detail in one of their white papers written by Alazar Baharu. This is one of the ways that machine learning can be especially helpful. Machine learning helps organizations identify lost revenue opportunities and optimize accordingly.

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Smart Data Collective

AUGUST 29, 2019

Many modern design tools rely on sophisticated machine learning algorithms. Machine learning tools can make higher quality designs much more quickly, but won’t do much good if these basic design guidelines are ignored. Patrick Hebron wrote a great article on design practices in the age of machine learning.

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Smart Data Collective

JUNE 12, 2019

Machine learning tools are able to understand the newest threats and use the latest algorithms to combat them, as Kaspersky Lab pointed out in a recent white paper. The good news is that new machine learning and predictive analytics technology is making it much more secure.

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Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. A number of experts have started analyzing the role of AI in technical analysis.

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IBM Journey to AI blog

MAY 1, 2023

Using machine learning techniques, these models apply information learned about one situation to another situation. This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems.

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Alation

FEBRUARY 12, 2020

Do you have the machine learning expertise to capture technical, operational, business and social metadata metadata? To find out more about their data cataloging journeys, download our exclusive white paper, The Enterprise Data Catalog: Build or Buy? Download White Paper. Subscribe to Alation's Blog.

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DataRobot

AUGUST 16, 2021

Mitigation strategies can take place at three different stages of the machine learning pipeline: Pre-processing: aimed at reducing bias in the data used to train a model In-processing: applied during training, forcing models to learn less biased patterns Post-processing: modifying model predictions based on fairness metrics.

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How to Learn Machine Learning

MAY 6, 2025

By automating blog writing, social media posts, ad copy, and white papers-generative-AI has transformed content creation industries. Generative AI can be modeled using very complex machine learning algorithms based on the GAN, VAE, or Transformer principles, e.g., GPT. How Does Generative AI Work?

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Cambridge Intelligence

JANUARY 30, 2024

But AI and machine learning has emerged as a game changer for anti-fraud platforms. FREE: Graph visualization and artificial intelligence white paper Find out how successful businesses work with the latest graph visualization and AI technologies to make fast, business-critical decisions. An AI-powered fight back?

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Precisely

AUGUST 22, 2024

Large data- intensive organizations with multiple data sources, businesses that would benefit from near real-time analytics, industries with stringent compliance or security regulations, or those that can benefit from AI, machine learning, and advanced analytics will also see value. ” today.

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IBM Journey to AI blog

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

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DataRobot

OCTOBER 20, 2021

In order to scale responsible AI, organizations should implement these fundamental building blocks of data literacy: The data science and machine learning workflow: Learning about the steps required to create predictions from raw data helps stakeholders develop an understanding of AI project implementation. WHITE PAPER.

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Towards AI

JULY 21, 2023

Google AI Blog Machine learning (ML) is a key strategic focus at Google, with highly active groups pursuing research in virtually all… ai.googleblog.com Anon letter: Richard Socher, ex-Salesforce CSO, recently left the company to start his own venture, which at the time of this writing, remains in stealth.

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insideBIGDATA

APRIL 25, 2023

This checklist from our friends over at Arize covers the essential elements to consider when evaluating an ML observability platform. Whether you’re readying an RFP or assessing individual platforms, this buyer’s guide can help with product and technical requirements to consider across a number of areas discussed in this useful resource.

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AWS Machine Learning Blog

MARCH 2, 2023

When end-users ask natural language questions, Amazon Kendra uses machine learning (ML) algorithms to understand the context and return the most relevant answers. Upload the folders Best Practices , Databases , General , and Machine Learning from the unzipped file. For Description , enter AWS White Paper documentation.

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Precisely

AUGUST 12, 2024

Read our white paper 4 Essential Steps to Modernize Traditional CCM for Digital CX Success The mandate for companies to become digital CXM leaders is crystal clear, but the road to achieving that goal remains fraught with challenges. Workflow issues can cause delays and errors in communication, frustrating both employees and customers.

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IBM Journey to AI blog

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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DataRobot

OCTOBER 27, 2021

AI-enabled hiring processes leverage tailor-built models that learn from past decisions of HR personnel and provide insights and recommendations while maintaining that the final decision remains in the hands of trained HR professionals. White Paper. The Role of AI in Pandemic Response: Lessons Learned from COVID-19.

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Precisely

SEPTEMBER 15, 2023

AI and machine learning are still in their infancy, yet forward-looking enterprises are using these technologies to create tremendous value. Read our White paper A Roadmap for Data Governance This whitepaper explores four steps of the data governance journey, and how doing it right will payoff in the long run.

Data Governance 52

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Cambridge Intelligence

FEBRUARY 6, 2024

Machine learning, pattern matching and natural language prompts are great at rapid data processing and analysis – and data visualization is the key to a human understanding of AI-driven insights. It’s possible to train machine learning models to collect data.

Data Visualization 59

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IBM Data Science in Practice

JUNE 10, 2024

IBM’s watsonx supports these efforts with its advanced machine learning frameworks that enable precise and efficient sequence generation. If you are interested to learn more about how you can leverage IBM watsonx for genomic applications or other use cases, reach us at ibm.com/client-engineering.

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Precisely

OCTOBER 16, 2023

Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics.

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IBM Journey to AI blog

MARCH 21, 2024

Some 5G networks’ download speeds can reach as high as 10 gigabits per second (Gbps) making them ideal for new technologies like artificial intelligence (AI) , machine learning (ML) and Internet of Things (IoT). As use cases for 5G increase, so does demand for networks that can support the devices that run on it.

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AWS Machine Learning Blog

APRIL 12, 2023

Each document type has a separate folder: blogs, case-studies, analyst-reports, user-guides, and white-papers. unzip docs.zip aws s3 cp Data/ s3:// /Data/ --recursive aws s3 cp Meta/ s3:// /Meta/ --recursive The documents being queried are stored in an S3 bucket. This folder structure is contained in a folder named Data.

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Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on the concept of MLOps, its lifecycle, capabilities, and practices. Source: Image by the author.

ML 52

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Alation

MAY 17, 2022

And today, it’s much harder to scale a person than a machine learning model. Modern data catalogs, such as Alation, use machine learning to improve search results. Learn more about how a data catalog can accelerate analytical insights. Download the white paper today.

Data Analyst 52

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AWS Machine Learning Blog

OCTOBER 15, 2024

Your knowledge base should comprise multiple data sources, including: Responses for an application discovery questionnaire ( See example ) Output from the configuration management database (CMDB) or AWS Application Discovery Agent data ( See example ) Best practices and white-papers on migration to AWS (for example, Migration Lens – AWS Well-Architected (..)

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IBM Journey to AI blog

MARCH 14, 2024

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. But what does the future hold in store? How much of that is true and how much is just hype?

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AWS Machine Learning Blog

JULY 24, 2024

Each document type has a separate folder: blogs, case-studies, analyst reports, user guides, and white papers. unzip docs.zip aws s3 cp Data/ s3:// /Data/ --recursive aws s3 cp Meta/ s3:// /Meta/ --recursive The documents being queried are stored in an S3 bucket.

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DataRobot Blog

JUNE 24, 2022

Thanks to the increasingly rapid evolution of AI and advances in machine learning, the real estate industry has a more vivid picture of future risk and opportunities across all different market segments: offices, residential, retail, logistics, hotels, OPRE and data centers. market and submarket levels). DataRobot Time Series Modeling.

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