ITProToday, Monday, September 18,2023
The AI Hype Is Now Very Real For Businesses
While the AI hype is largely justified, organizations must cautiously prioritize governance, safety, and their unique requirements.
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2,118 articles · page 38 of 43
Gartner News, Monday, September 18,2023
Gartner Predicts 80% Of Large Enterprise Finance Teams Will Use Internal AI Platforms By 2026
Key Issues Facing CFOs Now and In the Future Being Discussed at Gartner CFO & Finance Executive Conference, September 18-19, in London
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Dataversity, Monday, September 18,2023
Data Governance In The Age Of Generative AI
AI-based business models and products that use generative AI (GenAI) are proliferating across a wide range of industries. The current wave of AI is creating new ways of working, and research suggests that business leaders feel optimistic about the potential for measurable productivity and customer service improvements, as well as transformations in the way that products and services are created and distributed.
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Search Enterprise AI, Friday, September 15,2023
In-Depth Guide To Machine Learning In The Enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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Techstrong.ai, Thursday, September 14,2023
AI Leadership Insights: AI At The Network Edge
Synopsis: In this AI Leadership Insights video interview, Mike Vizard speaks with Jim White, CTO of IOTech, about the challenges of deploying and maintaining AI at the network edge.
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FutureCIO, Wednesday, September 13,2023
Privacy And Security Concerns Bar AI Adoption
Most organisations are optimistic about AI but adopting it requires trainings and awareness on privacy and security according to Global DevSecOps Report: The State of AI in Software Development by GitLab Inc.
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datanami, Tuesday, September 12,2023
GenAI Adoption, By The Numbers
As the freight train that is generative AI continues barreling down the track to an uncertain destination, we thought it would be good to take some time to stop and ponder where we're currently at in terms of GenAI adoption.
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Gestalt IT, Tuesday, September 12,2023
AI Infrastructure Disrupts Enterprise IT With Justin Emerson From Pure Storage
As enterprises try to deploy infrastructure to support AI applications they generally discover that the demands of this application can disrupt their architecture plans.
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Search Enterprise AI, Friday, September 8,2023
What Is The Future Of Machine Learning?
Machine learning is changing how we write code, diagnose illnesses and create content, but implementation requires careful consideration to maximize benefits and mitigate risks.
more → CXOtoday.com, Friday, September 8,2023
Crafting A New Future Through The Lens Of AI Possibilities
The recent progression of Artificial Intelligence (AI) capabilities and corresponding trends has exerted a substantial influence on the financial industry. AI has instigated a transformative revolution in fintech, shaping forthcoming trajectories through enhancements in trading ML algorithms and the provision of personalized guidance.
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eWeek, Tuesday, September 5,2023
Top 10 Conversational AI Platforms 2023
By leveraging natural language processing and generative AI, conversational AI platforms enable businesses to build intelligent AI chatbots and virtual assistants that can understand and respond to user queries seamlessly.
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insideHPC, Tuesday, September 5,2023
HPC News Bytes 20230905: Google Cloud Teams with NVIDIA; Arm Neoverse; ETH's Hoefler Also at CSCS; RHEL
A hearty and happy September to you. This week's HPC News Bytes hops (5:00) across the key developments in the world of HPC-AI.
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Gartner, Friday, September 1,2023
AI Leadership Insights: Ai Maturity Models (20 m)
In this AI Leadership Insights video interview, Mike Vizard speaks with Bryan Kirschner, VP of strategy for DataStax, about the need for AI maturity models.
more → TechTalks, Thursday, August 31,2023
Enterprise Generative AI: Take Or Shape?
'Take' refers to the traditional software-as-a-service (SaaS) model where you use the software 'as is' off-the-shelf. There are various options available.
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SmartDataCollective, Thursday, August 31,2023
Advances In AI Are Driving Major Changes In Cybersecurity
AI technology has significantly changed the future of the cybersecurity profession over the last few years.
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datanami, Thursday, August 31,2023
Top 10 In-Demand Genai Skills
AI skills are in high demand, as companies seek to leverage emerging tech like generative AI for competitive advantage. But what specific skills are the most in-demand? The folks at Upwork provided a clue.
more → insideBIGDATA, Wednesday, August 30,2023
LinkedIn Releases State of AI @ Work Report
LinkedIn's Economic Graph Research & Insights (EGRI) team released The Future of Work Report: AI at Work, a new quarterly report featuring current insights on the state of AI and the workforce, as well as analysis on how AI may impact how we work moving forward.
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Gartner, Wednesday, August 30,2023
Gartner Says More Than 50% Of Software Engineering Leader Roles Will Explicitly Require Oversight Of Generative AI By 2025
By 2025, more than half of all software engineering leader role descriptions will explicitly require oversight of generative artificial intelligence (AI), according to Gartner, Inc.
more → insideBIGDATA, Monday, August 28,2023
Survey: Over Half of Senior AI Professionals See at Least 2x ROI on AI Initiatives
Dataiku, the platform for Everyday AI, together with Databricks, the data and AI company, revealed survey findings that shed light on AI's transformative impact on businesses globally.
more → StorageReview.com, Friday, August 25,2023
The AI Jargon Buster!
This glossary provides a solid starting point for understanding various AI-related terms. Keep in mind that AI is a rapidly evolving field, and new terms and concepts may emerge over time. It's essential to stay updated by referring to reputable sources and industry publications.
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IDC, Friday, August 25,2023
Planning For Success With Generative AI
Navigating the world of Generative AI requires an approach that encompasses responsible policies, sound data practices, technology understanding, a comprehensive view of use cases, and collaboration between IT and business leadership.
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Search Enterprise AI, Thursday, August 24,2023
Top 12 Machine Learning Use Cases And Business Applications
Machine learning applications are increasing the efficiency and improving the accuracy of business functions ranging from decision-making to maintenance to service delivery.
more → eWeek, Thursday, August 24,2023
Neural Networks vs. Deep Learning
Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, there are key differences between them:
more → datanami, Thursday, August 24,2023
Genai Debuts Atop Gartner's 2023 Hype Cycle
Gartner released the 2023 version of its hype curve for emerging technology yesterday, and as expected, generative AI was given the most prominent seat, right at the peak of inflated expectations. But does GenAI have the legs to take itself into the techno promised land?
more → Solutions Review, Thursday, August 24,2023
AI-Based Red Teaming: Why Enterprises Need To Practice Now
In the dynamically changing world of cybersecurity, no one can afford to become complacent. As tech professionals, we understand this constant flux, watching as adversarial actors continually adapt their strategies and tools. We are stepping into an era where artificial intelligence (AI) is no longer a futuristic concept, but an active player in the cybersecurity landscape. This article aims to shed light on a significant aspect of AI in cybersecurity- its role in red team exercises.
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Search Enterprise AI, Tuesday, August 22,2023
10 Top Resources To Build An Ethical AI Framework
Several standards, tools and techniques are available to help navigate the nuances and complexities in establishing a generative AI ethics framework that supports responsible AI.
more → Search Enterprise AI, Tuesday, August 22,2023
8 Areas For Creating And Refining Generative AI Metrics
When gauging the success of generative AI initiatives, metrics should be agreed upon upfront and focus on the performance of the model and the value it delivers.
more → Search Enterprise AI, Tuesday, August 22,2023
How To Build And Organize A Machine Learning Team
Explore the process of building an ML team, including reasons to build one and descriptions of the core roles of project manager, data engineer, data scientist and ML engineer.
more → Solutions Review, Friday, August 18,2023
Generative AI: The Promise And The Pitfalls
As part of Solutions Review's Contributed Content Series-a collection of articles written by industry thought leaders in maturing software categories-Neil Serebryany, the CEO and Founder of CalypsoAI, outlines some of the promises and potential pitfalls of generative AI technology.
more → Enterprise AI, Friday, August 18,2023
Compare 3 AI Writing Tools For Enterprise Use Cases
AI writing tools target enterprise use cases, but aren't ready to replace a human writer just yet. Explore three popular options for content creation: Writer, Jasper and ChatGPT.
more → eWeek, Thursday, August 17,2023
Generative AI vs. AI
Artificial intelligence has the ability perform tasks that typically require human intelligence. Generative AI, in contrast, is a specific form of AI that is designed to generate content.
more → Gartner, Wednesday, August 16,2023
Generative AI Tops Gartner's Top 25 Emerging Technologies For 2023
Emergent AI Will Have a Profound Impact on Business and Society
more → VentureBeat, Wednesday, August 16,2023
Gartner Hype Cycle Places Generative AI On The 'Peak Of Inflated Expectations'
Many might not be surprised, but today the 2023 Gartner Hype Cycle for emerging technologies placed generative AI on the 'Peak of Inflated Expectations' for the first time.
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eWeek, Tuesday, August 15,2023
Risks Of Generative AI: 6 Risk Management Tips
Generative AI models are powerful tools that data scientists are using to create powerful results, from content creation to improved data analytics performance. Yet it's becoming apparent that many users are not aware of the risks of using generative AI.
more → VentureBeat, Tuesday, August 15,2023
OpenAI Promotes GPT-4 As A Way To Reduce Burden On Human Content Moderators
One of the most unsung jobs of the internet era is that of the content moderator.
more → InformationWeek, Tuesday, August 15,2023
Bridging The AI Strategy Gap In The C-Suite
An IBM executive talks with InformationWeek about a study finding a disconnect between executives over AI implementation.
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Techstrong.ai, Tuesday, August 15,2023
AI: The Great Equalizer Of Big Industry Players
Over the last few years, artificial intelligence (AI) has gained momentum as 'the next big thing.' Some even project that the technology will be making a bigger impact than the introduction of the internet.
more → FutureCIO, Monday, August 14,2023
Large Language Models - The Low Down On
Gartner defines a large language model (LLM) as a specialised type of artificial intelligence (AI) that has been trained on vast amounts of text to understand existing content and generate original content.
more → ComputerWorld, Friday, August 11,2023
The Future Of Work Is AI-Enhanced And Remote
Two of the biggest unresolved questions in business this year are whether remote work is here to stay and how AI will affect jobs. We're starting to get some clues about the answers.
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Gartner, Tuesday, August 8,2023
Gartner Survey Shows Generative AI Has Become An Emerging Risk For Enterprises
Survey of 249 Senior Enterprise Risk Executives Reveals Top 5 Emerging Risks in the Second Quarter of 2023
more → Search Enterprise AI, Monday, August 7,2023
How To Manage Generative Ai Security Risks In The Enterprise
Despite its benefits, generative AI poses numerous -- and potentially costly -- security challenges for companies. Review possible threats and best practices to mitigate risks.
more → SiliconANGLE , Friday, August 4,2023
Exponential Data Growth Could Turn Storage For AI Into An Information Supply Chain
Exponential data growth has led to a huge need for enterprise data storage, with major players in the data storage industry eyeing increased adoption of next-generation storage solutions, projected to be valued at over $150 billion by 2023.
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ComputerWeekly, Wednesday, August 2,2023
Vigilance Advised If Using AI To Make Cyber Decisions
The AI arms race is heating up, and the battle lines are being redrawn. Still, organisations should proceed cautiously and remain vigilant in scrutinising AI's ability to ensure accurate, safe, and informed decision-making.
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eWeek, Wednesday, August 2,2023
The Pros And Cons Of Deep Learning
Deep learning is an advanced type of artificial intelligence that uses neural networks and complex algorithms to process big data and produce detailed and contextualized outputs, simulating the ways in which human brains process and share information.
more → Virtualization Review, Wednesday, August 2,2023
How 'High Performer' Firms Benefit From AI Embrace, While Others Don't
Amid research indicating that some organizations fully embrace advanced AI and use it to benefit the business more than others do, a new report explains what these leaders are doing differently.
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Gartner , Tuesday, August 1,2023
Gartner Identifies Top Trends Shaping The Future Of Data Science And Machine Learning
Analysts Explore Industry Trends at Gartner Data & Analytics Summit in Sydney, July 31 - August 1
more → CIO, Monday, July 31,2023
20 Issues Shaping Generative AI Strategies Today
From acceptable use policies to change management challenges, CIOs are at the center of a quickly unfolding IT revolution that requires deft navigation of emerging and evolving issues across the business landscape.
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eWeek, Monday, July 31,2023
10 Best Deep Learning Software 2023
Discover the best deep learning software for training and deploying neural networks with powerful features and customizable options.
more → SiliconANGLE , Saturday, July 29,2023
Five Best Practices To Capture AI Value
Artificial intelligence has the potential to create substantial business value for organizations, but AI teams often find it challenging to realize and communicate these benefits. In fact, Gartner research has found that difficulty measuring AI value and a lack of understanding around AI benefits and uses are top barriers to its implementation.
more → IoT Agenda, Friday, July 28,2023
Artificial Intelligence Of Things (AIoT)
Artificial intelligence of things (AIoT) is the combination of artificial intelligence (AI) technologies and the internet of things (IoT) infrastructure. AIoT's goal is to create more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.
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