CIO

SEPTEMBER 9, 2024

To achieve compliance, financial institutions must implement robust controls, submit detailed reports, conduct regular penetration tests, and establish effective third-party risk management strategies, all while adhering to data privacy regulations and other requirements.

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CIO

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

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Artificial Inteligence Generative AI Machine Learning Analytics 284

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms.

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N2Growth Blog

AUGUST 22, 2024

Modern CFOs are no longer just about bookkeeping and compliance; they are pivotal in leading with strategic thinking and mastering financial technology. Staying updated with Artificial Intelligence advancements, automation, and FinTech is essential for optimizing financial operations and planning business growth.

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Artificial Inteligence Fintech Compliance Machine Learning 78

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

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Artificial Inteligence Storage Artificial Intelligence Retail 263

CIO

OCTOBER 4, 2023

Certified Information Systems Auditor (CISA); PMI Program, Portfolio, and Risk Management Professionals (PgMP, PfMP and PMI-RMP); Six Sigma Black Belt and Master Black Belt; Certified in Governance, Risk, and Compliance (ISC2); and Certified in Risk and Information Systems Control (CRISC) also drew large premiums.

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Security Artificial Inteligence Generative AI Blockchain 338

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms.

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Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Factory Monitoring?—?

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CIO

DECEMBER 19, 2023

To prepare the data stored in these lakes for analysis and use, data scientists and analysts need protected access. Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization. Support for future AI development Secretary of State Antony J.

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Perficient

SEPTEMBER 25, 2024

The industry faces several persistent hurdles: Data fragmentation: Research teams often struggle with siloed information across departments, hindering collaboration and comprehensive analysis. Regulatory compliance : Keeping up with evolving data management regulations adds another layer of complexity to clinical trials.

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AWS Machine Learning - AI

MAY 30, 2024

Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes.

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Generative AI Policies Video AWS 118

CIO

AUGUST 13, 2024

Evolutive: Deep automation continuously learns and improves, leveraging AI and machine learning to enhance its capabilities over time. This includes regular security audits of automated systems and ensuring compliance with data protection regulations. John Deere’s precision agriculture exemplifies deep automation.

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Lacework

DECEMBER 18, 2023

February: AI and machine learning Artificial intelligence (AI) and machine learning (ML) can analyze vast amounts of data to identify anomalies and predict potential threats. April: Network traffic analysis Monitoring and analyzing network traffic within cloud environments is key.

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Cherry Work

MAY 2, 2024

Leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), these solutions analyze vast amounts of transactional data to detect anomalies, patterns, and suspicious activities that may indicate fraudulent behavior. Learn More Would you like to do the same for your organization?

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Artificial Inteligence Compliance Artificial Intelligence Systems Review 130

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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Artificial Inteligence Generative AI Security Applications 126

Newgen Software

JULY 2, 2024

An Intelligent Data Extraction System refers to a technology designed to automatically extract relevant information from different types of documents such as PDFs, TIFF, Word, or Excel. This allows organizations to make data-driven decisions, identify trends, and uncover hidden opportunities that can drive business growth and innovation.

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Cloudera

JUNE 12, 2024

Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. Deloitte employs AI for risk, compliance, and analysis while also using ML models for fraud detection.

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Generative AI Artificial Inteligence Compliance Analysis 81

Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

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Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

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Artificial Inteligence Analysis IoT Training 130

Palo Alto Networks

SEPTEMBER 4, 2024

And with artificial intelligence (AI) permeating cybersecurity at seemingly warp speed, it’s critical for practitioners to stay up to date on the latest developments and ensure they are integrating AI responsibly into their security protocols. Cultivating AI literacy is also increasingly important.

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TechCrunch

MARCH 15, 2021

” But the company also argues that today’s bots focus on basic task automation that doesn’t offer the kind of deeper insights that sophisticated machine learning models can bring to the table. There’s DeepSee Assembler , which ingests unstructured data and gets it ready for labeling, model review and analysis.

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Artificial Inteligence Insurance Machine Learning Systems Review 240

Openxcell

NOVEMBER 10, 2023

Artificial Intelligence refers to imbibing computing systems with an ability to think like a human and make rational decisions similar to them. It does so by implementing technologies of Machine Learning, Natural Language Processing(NLPs), and more. What is AI and how does it work? Given below are the types of AI.

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OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

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Artificial Inteligence How To Technical Review Software Review 130

TechCrunch

MAY 24, 2022

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. Singularity Energy , a SaaS platform that reports on carbon emissions for the electricity grid, has closed a $4.5 Harvard is very sustainability driven. he recalled. “We

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OTS Solutions

JUNE 16, 2023

For example, cloud computing, artificial intelligence, and the Internet of Things (IoT) have the potential to transform how companies operate and deliver services to their applications, businesses can leverage these technologies to improve efficiency and stay competitive.

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Artificial Inteligence How To Technical Review Software Review 130

Existek

MAY 27, 2024

What is the special bond between logistics and artificial intelligence? Artificial intelligence logistics can forecast future demands with high accuracy, allowing companies to plan their processes more effectively. How can your business use artificial intelligence in logistics?

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Artificial Inteligence Industry Artificial Intelligence Technical Review 52

Tenable

MAY 31, 2024

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? If your organization is using artificial intelligence (AI), chances are that the CISO and other security leaders have been enlisted to help create guardrails for its use. and the U.S. –

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AWS Machine Learning - AI

JUNE 18, 2024

To extract key information from high volumes of documents from emails and various sources, companies need comprehensive automation capable of ingesting emails, file uploads, and system integrations for seamless processing and analysis. At the same time, the solution must provide data security, such as PII and SOC compliance.

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Generative AI Artificial Inteligence AWS Technical Review 99

AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. eSentire used instances with CPU for data preprocessing and post-inference analysis and GPU for the actual model (LLM) training.

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Artificial Inteligence Generative AI AWS Serverless 101

AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Artificial Inteligence Pharmaceuticals Healthcare AWS 101

CIO

MAY 23, 2024

The company is also applying machine learning (ML) to gather information from various public sources that can be used internally for market and product analysis. The EU was the first to do so, but now other parts of the world are also starting to impose requirements for storage, sometimes down to country level.

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Generative AI Technical Review Artificial Inteligence Software Review 276

AWS Machine Learning - AI

AUGUST 6, 2024

As we’ve all heard, large language models (LLMs) are transforming the way we leverage artificial intelligence (AI) and enabling businesses to rethink core processes. Thomson Reuters , a global content and technology company, has seen positive results with Claude 3 Haiku, but anticipates even better results with customization.

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Generative AI Artificial Inteligence Applications Knowledge Base 117

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

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Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 130

CIO

MAY 30, 2024

Plus, it’s used to speed up procurement analysis and insights into negotiation strategies, and reduce hiring costs with resume screening and automated candidate profile recommendations. This facilitated the transition through the data protection officer for compliance, which Ciuccarelli points out is an important part of an AI project.

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CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Artificial intelligence (AI). Business intelligence. Microsoft Azure. Data warehouse. Data modeling. Strategy development.

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Altexsoft

JUNE 2, 2020

This is where Artificial Intelligence (AI) comes in. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior.

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Artificial Inteligence Examples Applications Machine Learning 93

TechCrunch

MAY 10, 2022

Contract lifecycle management (CLM), the method of managing a contract from initiation through award, compliance, and renewal, can be costly for companies. For the legal department, software is a crucial tool to identify and manage risk and compliance. Obstacles include a lack of resources, budget constraints, and tech illiteracy.

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