Organizational Transformation Leveraging Modern Infrastructure to Deliver Cognitive, AI, and Analytics Capabilities
By: IBM View more from IBM >>
Download this next:
3 steps to harness the value of your AI initiatives
By: Hewlett Packard Enterprise
Type: White Paper
Struggling to get AI projects off the ground? AI adoption remains high, but still, 60-80% of projects fail. Yet, 89% of IT leaders are exploring or implementing AI.
This white paper outlines 3 key steps to fast-track your AI initiatives and drive real business value - from understanding your use case to choosing the right AI application and deployment approach. Read on to learn how you can harness the value of AI.
These are also closely related to: "Organizational Transformation Leveraging Modern Infrastructure to Deliver Cognitive, AI, and Analytics Capabilities"
-
TDM- The Generative AI Advantage: A Leader’s Guide to Leveraging Your Data as a Differentiator
By: AWS
Type: eBook
Forward-thinking leaders aren’t only thinking about next steps for generative AI applications, but also about how to build a competitive advantage in this emerging space.
While general large language models can be used “out of the box” for some use cases, when you want to build generative AI applications that are unique to your business needs, your organization’s data is your strategic asset.
Data is the difference between a generic generative AI application and one that can truly deliver a more differentiated experience.
Read on to uncover next steps for using data to create generative AI applications that know your customers deeply.
-
Top 5 considerations for your AI/ML platform
By: Red Hat
Type: White Paper
Artificial intelligence (AI) and machine learning (ML) are essential for today’s organizations, and data is just as critical to applications as the code they are built on.
But there is still a lack of collaboration between the different groups involved in the development of these applications. To effectively harness AI, ML, and data science, companies must bring together developers, IT operations, and engineers to operationalize machine learning operations (MLOps).
Use this checklist, featuring the top 5 considerations for your AI/ML platform, to implement MLOps processes that help your teams start creating data-driven applications in a security-focused and collaborative way.
Find more content like what you just read:
-
Accelerate with AI - Learn to drive value in early AI projects
By: Hewlett Packard Enterprise
Type: White Paper
Discover how to accelerate time to value with initial AI initiatives. Leverage a turnkey enterprise solution to streamline custom generative AI production and quickly adopt AI across your organization. Read the full white paper to learn more.
-
Building with Gen AI on AWS eBook
By: AWS
Type: eBook
The eBook “Unleash the Power of Generative AI: Build Better Applications, Faster” describes how companies and their application developers can overcome the barriers to generative AI adoption by leveraging AWS tools and services.
-
AI tools for software developers: Part Two
By: TechTarget ComputerWeekly.com
Type: eGuide
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?
-
AI tools for software developers: Part One
By: TechTarget ComputerWeekly.com
Type: eGuide
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?
-
32-pg guide: Overcome the AI skills gap with these essential strategies
By: InterSystems
Type: eBook
Read on to discover the essential strategies to overcome the AI skills gap, and find out how InterSystems can help you uncover what may be holding your AI initiatives back.
-
9 business applications of AI/ML
By: TierPoint
Type: White Paper
Navigating the complex landscape of artificial intelligence (AI) and machine learning (ML) adoption can be a daunting task, often leaving companies uncertain about the right starting point. Look no further than this white paper, which dissects 9 top business applications of AI, specific uses by industry, and more.
-
IT leader’s guide to self-healing data models
By: Qualitest Group
Type: Blog
In the rapidly evolving field of artificial intelligence (AI), self-healing data models represent a groundbreaking advancement. In this blog post Qualitest’s Basel Deeb provides a breakdown of self-healing data models, presenting the key information to give you a better understanding of their role in the state of AI. Read on to learn more.
-
Threat intelligence: AI vs. traditional threat management
By: Bottomline Technologies, Inc.
Type: eGuide
As traditional antivirus programs and intrusion detection systems become ineffective against ransomware and advanced persistent threats, it’s become imperative for organizations to take proactive approaches – such as AI-driven threat intelligence. Take the survey to access Traditional Threat Management vs. AI-Driven Threat Intelligence.
-
Best cloud security certifications
By: TechTarget ComputerWeekly.com
Type: eGuide
There are four broad forms of AI in use today, ranging from simple and almost mechanical to complex and almost human. These forms of AI are designed to stand in for human intelligence, but their ability to represent something even approaching human intelligence is greater as we progress through them. Download the infographic to learn more.
-
3 reasons why AI alone can’t end cybercrime
By: Gradient Cyber
Type: Blog
To discover 3 reasons why AI alone can’t eliminate cybercrime, and to find out how AI can improve MXDR, tap into this blog.
-
5 steps to get your financial team started with AI
By: OneStream Software LLC
Type: White Paper
Discover the 5 steps CFOs can take to harness AI for transforming finance operations in this white paper. Learn to utilize AI in planning, forecasting, and reporting to boost productivity and secure a competitive advantage. Uncover AI fundamentals, key use cases, and craft a robust enterprise AI strategy.
-
How to make the most of your data with a knowledge platform
By: DataVid
Type: Webcast
This webinar explores how businesses can integrate Large Language Models (LLMs) with private knowledge platforms to drive innovation. By watching, you will learn about practical AI applications, strategies for aligning technology with business value, and more. Tune in now to discover how you can make the most of your data.
-
Why DBAs play a crucial role in AI success
By: SolarWinds, Inc.
Type: White Paper
As AI becomes essential for business growth, database administrators (DBAs) play a crucial role in ensuring AI systems are properly supported. This white paper explores how database monitoring and optimization tools can help DBAs meet the demands of AI-driven workloads. Read the full white paper now to learn more.
-
CW APAC, November 2022: Trend Watch: Artificial intelligence in APAC
By: TechTarget ComputerWeekly.com
Type: Ezine
In this handbook, focused on the adoption of artificial intelligence (AI) in Asia-Pacific, Computer Weekly looks at what stands in the way of AI adoption, Dell's deep learning model and how AI can realise its potential in healthcare.
-
Give your startup the generative AI advantage
By: AWS
Type: White Paper
Data is the difference between a generic generative AI application and one that truly knows your business and your customer in order to deliver a better, more differentiated experience. Read this white paper to uncover insights and next steps for using data to create generative AI models that can help boost startup success.
-
10 common NoSQL use cases for modern applications
By: Couchbase
Type: White Paper
With businesses racing to build hyper-personalized customer experiences powered by generative AI, Couchbase announces vector search at the edge, enabling AI-powered mobile applications. Read on to learn about the 10 most common NoSQL use cases from customers using the Couchbase high performing database platform.
-
Innovate with a modern application platform
By: Red Hat
Type: eBook
Application transformation can help you modernize existing apps and build new cloud-native ones faster. Learn how Red Hat OpenShift provides an integrated platform, tools, and services to accelerate your journey in this e-book.
-
Generative AI will power adaptive applications
By: Couchbase
Type: White Paper
Soon, enterprises will incorporate GenAI across the organization and inside nearly every application. These apps will be adaptable and take on new behaviors, understand situations, offer better advice, and create hyper-personalized experiences for users. This is what Couchbase refers to as AI-powered adaptive applications.
-
Accelerate your application releases with a renewed pipeline
By: Digital.ai
Type: Webcast
Application development is a hectic process, and simple bottlenecks in your application pipeline can lead to reductions in release speed that cost your organization time and money. In this webcast, Digital.ai’s Matthias Zieger and Silvia Davis present 3 tips to unclog your application pipeline and accelerate your releases. Watch now to learn more.
-
9 ways to scale AI with data integration and "Super iPaaS"
By: Software AG
Type: White Paper
As enterprises scale AI, data integration is critical to overcoming challenges like data silos, quality, and security. This white paper explores how modern data integration solutions can provide the foundation for successful, scalable AI initiatives. Learn more by reading the full white paper.
-
Integrating AI and BI: Challenges, opportunities, and ethics
By: Be-Terna
Type: Blog
To create true value, companies need to identify exactly where and why AI makes sense for them. That’s why the potential of AI in certain business intelligence (BI) applications is promising. Continue reading in this blog post to explore the challenges, opportunities, and ethical dilemmas of integrating AI and BI.
-
Go-to-market in generative AI with AWS for Startups
By: AWS
Type: Webcast
This session focuses on taking your generative AI model/tool/application to market with a hyperscaler like AWS. Watch the session now!
-
How to speed up AI/ML adoption with Red Hat
By: Red Hat
Type: eBook
Innovative technologies such as artificial intelligence and machine learning (AI/ML) can help you transform all aspects of your business to achieve valuable, measurable outcomes. Access this e-book to discover how organizations across industries are using Red Hat technologies to build AI/ML solutions that deliver real business value.
-
Implementing GenAI: Use cases & challenges
By: TechTarget ComputerWeekly.com
Type: eGuide
The use cases of generative AI are wide-ranging and have the potential to impact nearly all areas in business and IT. In this e-guide on generative AI, learn how to put the technology to work in business applications, DevOps and IT, as well as manage implementation challenges and risks.
-
Accelerate AI apps on OpenShift with Intel Xeon processors
By: Red Hat and Intel
Type: Product Overview
This white paper by Intel details how 4th generation Intel Xeon Scalable processors can accelerate AI applications and workflows on Red Hat OpenShift Container Platform. Read the white paper.
-
Deploy ML across the hybrid cloud without being limited by architecture
By: Red Hat
Type: Product Overview
Discover in this product overview how Red Hat OpenShift AI can help your team develop, train, test, and deploy ML across the hybrid cloud without being dragged down by limited architectural choices.
-
CW APAC, June 2023 – Trend Watch: Artificial Intelligence
By: TechTarget ComputerWeekly.com
Type: Ezine
Businesses the world over are exploring ways to use artificial intelligence in their operations. In this handbook, Computer Weekly looks at the issue of ethics in AI, what lab-grown neurons could mean for the technology, how an Indian agritech is helping firms maximise crop yields, and how to find winning AI use cases. Read the issue now.
-
Answering your 4 Biggest Questions about Generative AI Security
By: AWS
Type: eBook
In the eBook Answering Your 4 Biggest Questions about Generative AI Security, you will discover how to begin envisioning and implementing protective measures for your generative AI workloads.
-
Leveraging AI and data to protect insect biodiversity
By: AWS and Capgemini
Type: Case Study
Capgemini collaborates with Naturalis and AWS to launch a data science challenge that uses AI to identify insect species based on their sounds, enabling better biodiversity monitoring and protection. Read the full case study to learn more.
-
3-step model to operationalize Scale AI
By: HCL Tech
Type: Journal Article
Looking to keverage Microsoft's AI and data capabilities combined with HCLTech's engineering expertise to align generative AI to your business goals? Discover HCLTech's 3-step model to operationalize Scale AI and accelerate your enterprise data maturity in this full overview.
-
Discover the power of AI for business transformation
By: ServiceNow
Type: eBook
Explore how ServiceNow's AI-powered platform can revolutionize your business. Learn how to leverage generative AI, boost productivity, and deliver exceptional customer and employee experiences. Read the e-book to discover the power of an integrated AI platform.
-
Analyst report: Get the most out of Gen AI for cybersecurity
By: Elastic
Type: Analyst Report
The amount of data that exists today coupled with growing attack surfaces have made it so that many cybersecurity solution providers are running in quicksand – until now. This analyst report reveals why the application of generative AI represents an inflection point in cybersecurity. Read on to discover the potential of AI in threat management.
-
AI readiness guide
By: HCL Tech
Type: eGuide
Harnessing the potential of AI is a transformative journey for businesses. In this comprehensive guide, you'll discover how to optimize your cloud capabilities to enable organization-wide AI adoption at scale.
-
Artificial Intelligence: Spotlight on ASEAN
By: TechTarget ComputerWeekly.com
Type: eGuide
In this e-guide, read about ASEAN's efforts in harnessing AI, the challenges ahead, as well as the rapid developments in the burgeoning field.
-
Leverage AI analytics for software delivery & business value
By: Digital.ai
Type: Product Overview
Discover how Digital.ai Intelligence's AI-powered analytics can align software delivery with business strategy, streamline value streams, and increase application reliability. Get the insights you need to drive continuous agility. Read the full research content to learn more.
-
ChatGPT: Applications in InfoSec & how it’s being used (and abused)
By: Trustwave
Type: Webcast
From integration with customer service support to personal assistants and translation services, businesses like yours are already utilizing ChatGPT in an abundance of use cases. But there’s a dark side to this AI boom. Tune into this webcast to understand the risks and myths of ChatGPT in InfoSec.
-
Accelerate your generative AI development with NVIDIA on AWS
By: AWS
Type: Video
Watch this Spotlight Series event to see a demo on how NeMo Retriever can optimize the embedding and retrieval process of RAG to deliver higher accuracy and more efficient responses for AI applications.
-
Reimagine Retail and Consumer Goods Innovation with Generative AI
By: Amazon Web Services
Type: eBook
Learn how industry leaders like adidas and OfferUp improve insights, elevate experiences, increase efficiency, and fuel growth using next-generation technologies. Read the ebook and start your generative AI journey with AWS today.
-
10 AI and machine learning trends
By: TechTarget ComputerWeekly.com
Type: eBook
Artificial intelligence technologies are transforming business processes and society at large. As enterprises expand the uses of AI, this field starts to move towards new domains, such as conceptual design, smaller devices and multi-modal applications. Here are 10 top 2022 trends IT leaders should prepare for now.
-
Harness WAF & RASP for complete security protection
By: Contrast Security
Type: eBook
Explore how combining Web Application Firewall (WAF) and Runtime Application Self-Protection (RASP) can provide comprehensive security against known and unknown vulnerabilities. Learn how RASP's runtime monitoring offers deeper protection than WAFs alone. Read the full e-book to learn more.
-
AI is reshaping your cloud strategy
By: Red Hat
Type: Forrester Research Report
AI is reshaping your cloud strategy, and now is your chance to choose how AI is implemented within your AI strategy. This report, produced by Forrester Research, provides guidance on integrating AI into your cloud strategy and examines the potential and limitations of running AI workloads in the cloud. Read on to learn more.
-
Explore HPE's AI solutions to drive business success
By: Hewlett Packard Enterprise
Type: Landing Page
Discover how HPE AI solutions can help you create a competitive advantage. Learn to accelerate AI productivity, get pilots to production faster, and solve your toughest business problems at scale. Read the full content to explore HPE's AI offerings.
-
Report - What Is Generative AI?
By: Couchbase
Type: eBook
This in-depth report from O’Reilly will help you harness GenAI in your organization to boost productivity, enhance creativity, streamline operations, and build AI-powered applications. Read on to learn more.
-
10 realistic business use cases for ChatGPT
By: TechTarget ComputerWeekly.com
Type: eGuide
In the rapidly evolving landscape of AI and natural language processing, ChatGPT has emerged as a powerful tool with myriad potential applications. In a corporate context, it's crucial to determine the most pragmatic and pertinent applications for specific business needs. Consider these 10 business use cases.
-
Automate complex manual tasks with AI21 Labs on AWS
By: AWS
Type: Webcast
Financial services enterprises can experience challenges related to human error, slow turnaround times, and manual, inefficient workflows. AI21 Labs' large language models (LLMs) and Task-Specific Models (TSMs) on AWS can help address these issues by streamlining the term sheet generation process and other repetitive reporting processes.
-
AI governance for the enterprise
By: IBM
Type: eBook
This eBook describes the key benefits gained with automated AI governance for both today’s generative AI and traditional machine learning (ML) models. Plus learn how you can get started with AI governance, the building blocks and best practices to help your teams accelerate responsible AI. Read the eBook now.
-
Simplify architecture and security with an AI-powered network
By: Hewlett Packard Enterprise
Type: White Paper
Streamline network architecture and security with an AI-powered approach. Learn how to improve performance, automate security, and maximize existing IT investments. Download this white paper to discover the benefits of a simplified, security-first network.