IBM z Analytics and Machine Learning
By: IBM View more from IBM >>
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6 steps to a successful machine learning journey
By: AWS
Type: Infographic
Learn how to achieve success with machine learning.
Businesses can unlock significant value across the organization with the help of artificial intelligence (AI) and machine learning (ML).
Follow the proven path to machine learning success. The 6 Steps to Machine Learning Success eBook will guide you on your ML journey and help you achieve measurable results at every stage along the way. Read the eBook to learn about:
- A successful machine learning journey in 6 steps
- How to transform ML investments into competitive advantages
- Inspiring stories of industry leaders who’ve successfully implemented machine learning
- Insights from AWS machine learning experts
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Accelerate machine learning innovation through security
By: AWS
Type: eBook
How security helps deliver machine learning results.
To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of machine learning—including data preparation, training, validation, and inference.
Amazon SageMaker, a fully managed machine learning service, provides comprehensive security features that can help your organization meet the strict security requirements of machine learning workloads.
Read the Accelerate Machine Learning Through Security eBook to learn how security features from Amazon SageMaker and the AWS Cloud can help you go from idea to production faster.
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19 machine learning interview questions and answers
By: TechTarget ComputerWeekly.com
Type: eGuide
Aspiring machine learning job candidates should be fluent in varied aspects of machine learning, from statistical theory and programming concepts to general industry knowledge.
Read our list of commonly asked machine learning questions and accompanying answers to help you prepare for your interview.
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The cybersecurity potential of deep learning
By: Deep Instinct
Type: Analyst Report
Amidst the cybersecurity skills shortage, organizations are hard pressed to find new answers to evolving problems. Deep learning, a subset of machine learning, offers a highly accurate way to identify attack patterns and stop threats before they become attacks, without the need for highly skilled cybersecurity experts. Read on to learn more.
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What you need to know before implementing machine learning
By: Red Hat and Intel
Type: White Paper
Implementing a successful machine learning operation is more complicated than just simply downloading an app and getting started. To do it properly, there are security, workflow, and flexibility factors that need to be taken into consideration to ensure that your developers, ops managers, and data scientists are productive. Read on to learn more.
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CW Innovation Awards: Jio taps machine learning to manage telco network
By: TechTarget ComputerWeekly.com
Type: eGuide
In this case study, learn how India's largest telecom operator built its own machine learning platform to meet the growing data and signalling requirements of new networks.
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Deep learning vs. machine learning in cybersecurity
By: Deep Instinct
Type: eBook
This eBook compares the differences between deep learning and machine learning tools for cybersecurity, helping you determine which makes the most sense for your business. Read the eBook here.
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How RPA and machine learning work together in the enterprise
By: TechTarget ComputerWeekly.com
Type: eGuide
More enterprises have adopted RPA functions to automate rote, repetitive tasks, but sometimes they need more capabilities. Enter machine learning functions and the result is "intelligent automation" which, unlike RPA, can learn and adapt.
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5 steps to follow when migrating MLPS to SD-WAN
By: TechTarget ComputerWeekly.com
Type: Infographic
Convolutional neural networks and generative adversarial networks are both deep learning models but differ in how they work and are used. Learn the ins and outs of CNNs and GANs.
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4 steps for operationalizing machine learning (ML) models
By: Red Hat
Type: White Paper
In this white paper, you’ll discover how adopting machine learning operations (MLOps) practices can save time and money in your efforts to build, deploy, and manage machine learning models and applications. Read on to learn about 4 steps you can take to support reliable MLOps across your business environment.
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How to navigate turbulent times in business
By: Contrast Security
Type: White Paper
In the past few years, there have been several significant disruptions to global markets. With events creating uncertainty and fear, and with new technology emerging at a rapid pace, businesses must adapt, grow, and be more resilient than ever before. Read on to learn how to overcome these challenges with an enhanced security posture.
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Collecting data is great, but you must use it intelligently
By: Hewlett Packard Enterprise
Type: Resource
To accelerate your digital transformation, organizations must find a way to intelligently use the data they collect to empower employees and deliver enhanced customer experiences. Having the data is nice, but it is what you do with it that changes everything. Read on to learn more about unlocking your data to drive innovation.
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Speed Up Your Software Development Cycle
By: Slack
Type: White Paper
Learn how to accelerate coding and deliver more software faster.
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Speed Up Your Software Development Cycle
By: Slack
Type: White Paper
Learn how to accelerate coding and deliver more software faster.
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Wi-Fi 5, 6, & 7: Insights & Impacts on Cable Infrastructure
By: Panduit
Type: White Paper
Because so many people and business rely on wireless devices, wireless access points have seen massive growth in the enterprise space to accommodate. While WAPs continue to improve, wi-fi standards continue to evolve. This is especially true with Wi-Fi 6 which may become the fastest growing standard in history. Read on to learn more about it.
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How you can maximize your employee’s lifetime value
By: Greenhouse Software
Type: White Paper
When it comes to the employee lifecycle that starts with being hired to their last day, it’s important to ensure the employee is delivering value throughout their tenure. To achieve this, it all starts with the People, or HR team. With the right people practices, it’s easy to keep your employees productive and engaged. Read on to learn more.
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6 essential steps to building a production-ready AI/ML environment
By: Red Hat
Type: eBook
Download this e-book to learn the 6 essential steps to building a production-ready AI/ML environment.
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Essential Guide: Internet of Things (IoT)
By: TechTarget ComputerWeekly.com
Type: Essential Guide
In this guide find out about the emerging market the Internet of Things (IoT). Find out advice, read case studies and learn how to manage the massive growth in connected devices and objects.
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Notion AI: What you can learn from the millions of users
By: Notion Labs
Type: White Paper
Notion AI has been utilized by millions of people at this point. For the past few months our user research team has been studying how people are working with Notion AI. This white paper presents a quick look at what we’ve learned — and how you can put these learnings to work. Dive into the white paper
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To be a data-first business, it requires constant vigilance
By: Hewlett Packard Enterprise
Type: Resource
Regardless of how your organization manages its data, cyberattacks happen. Even those with a cloud-first, data-centric business model can be attacked. However, by introducing security into your projects early on, you can ensure your organization is using secure-by-design principles. Read on to learn more about continuous data protection.
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Transforming UC & collaboration with advanced AV solutions: A guide
By: Shure Inc
Type: White Paper
Download this white paper for insights on potential gaps in your current UC portfolio, recommendations for how to fill them, and learn from two success cases on how to capitalize on the lucrative AV opportunity.
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Explore the many benefits of modern edge computing
By: Red Hat and Intel
Type: eBook
No matter the industry, businesses rely on the network edge as its main source of data collection. Whether it’s operational data, or user-generated data collected by your employees, it holds tremendous value. However, if your edge does not share the same management tools as your data center, you run the risk of creating silos. Read on to see why.
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With network automation, unlock the one-hour workday
By: Nomios
Type: White Paper
Organizations that are grasping network automation are understanding that productivity increases when the repetitive, mundane, and routine tasks are consolidated into an automated workflow that can take as little as one hour a day. With your talent freed up to do more strategic work, you can turn work into play. Read more to find out how.
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10 common uses for machine learning applications in business
By: TechTarget ComputerWeekly.com
Type: eGuide
Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
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How to build supply chain resiliency with automation
By: Blue Yonder
Type: eBook
Recent history has proven that supply chain disruptions can be caused by all kinds of factors both locally and globally. Because of that, ensuring that your logistical operations are resilient is critical. But if you haven’t begun your journey to supply chain digital transformation, the time to start is now. Read on to learn how to get started.
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Reduce the risk of cyber incidents from wireless peripherals
By: Logitech Inc.
Type: White Paper
The risk of a cyber incident hitting your organization goes up every single year. Along with risks going up, the cost of a breach is also increasing just as fast. However, with so many attack vectors available, IT leaders need to be aware of all points of vulnerability in the business. This even includes wireless peripherals. Read on to learn more.
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How to build a machine learning model in 7 steps
By: TechTarget ComputerWeekly.com
Type: eGuide
Organizations are implementing AI projects for numerous applications in a wide range of industries. But building a viable, reliable and agile machine learning model takes patience, preparation and perseverance. In this e-guide, we take a look into the main steps for building an efficient machine learning model.
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What password recommendations your company should adopt
By: TechTarget
Type: Resource
In this expert guide to Password Security Guidelines, learn how you can keep your enterprise safe by improving your password policies today. We ask you to participate in our Security Market Research Program to receive a free download of the guide.
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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.
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5 Advantages of Deep Learning in Cybersecurity
By: Deep Instinct
Type: Blog
There is an opportunity for a transformational change to adopt superior threat prevention, brought about by the most advanced form of AI – deep learning (DL). But what is deep learning, and why should you care? Find answers in this blog, which explores the key differences between DL and machine learning.
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AI/ML deployment: How to overcome key challenges
By: Red Hat
Type: eBook
In this e-book, you’ll discover how you can leverage the transformative power of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to make the most of your data. Read on to learn how you can overcome the most troublesome deployment challenges and build a production-ready AI/ML environment.
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The guide you need for field service management & vendors
By: ServiceNow
Type: Gartner Research Report
For organizations looking to upgrade their field service management offerings, there are many benefits to an initiative like this. Whether it’s optimizing scheduling, improving CX, or having the ability to offer connected field service and outcome-based contracts will give you the advantage you need. Read this Gartner report to learn more.
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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.
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Providing an equitable, personalized learning experience anywhere
By: Connection
Type: White Paper
Education has always relied on tools that improve communication and collaboration. But today’s complicated technology solutions and clunky integrations take time away from dedicated learning hours and create headaches
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16 Tips for Working Smarter with Slack Apps and Workflows
By: Slack
Type: White Paper
Learn how to harness Slack's integrations and advanced features automate workflows and optimise communication.
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16 Tips for Working Smarter with Slack Apps and Workflows
By: Slack
Type: White Paper
Learn how to harness Slack's integrations and advanced features automate workflows and optimise communication.
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Introducing Deep Instinct Prevention for NAS Storage
By: Deep Instinct
Type: Webcast
How secure is your file storage? The consolidation of data from various endpoints has transformed your critical data repositories into major attack vectors, providing a one-stop shop for attackers. Fortunately, deep learning can close this critical gap in your cybersecurity defense. Watch this webcast to learn more.
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ITSM: How CIOs are leveraging AI & machine learning
By: Atlassian
Type: Blog
As the IT service management market is now introduced to self-service and automation, organizations must learn how to incorporate these new technologies in a way that drives value. Check out this TechTarget blog to access 12 AI and machine learning use cases in ITSM.
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AI disruption: How automation can help not hurt jobs
By: Documation Software Ltd
Type: White Paper
As more and more organizations continue to integrate AI into their operations, many are worried that this technology will affect or replace their jobs. But never fear, automation and machine learning are only here to help rather than destroy teams. Browse this white paper to learn more.
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Service management: Assistive vs. generative AI
By: Atlassian
Type: Blog
Delivering IT services has never been particularly easy, which is why the IT support industry has seen such an evolution over the last 30 years. Read this blog to learn how AI can handle tedious tasks such as re-routing tickets, handling repetitive questions, catching up on long comment threads, and more.
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Bring Differentiated Therapeutics to Market Faster
By: AWS Marketplace
Type: eBook
Leading life sciences organizations like Moderna, AstraZeneca, and Thermo Fisher Scientific leverage AWS to remove the undifferentiated heavy lifting to focus more time and resources on bringing new and differentiated treatments to market. Read this eBook to learn how you can do the same.
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5 pillars of an effective AI/ML platform
By: Red Hat
Type: White Paper
In this white paper, you’ll learn about the top 5 considerations you should make for your AI/ML platform. Read on to learn how you can enable your organization to create data-driven apps in a security-focused and collaborative way.
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5 applications for machine learning in threat detection
By: AT&T
Type: Presentation Transcript
Dive into this webinar amplifier resource for an in-depth look at the challenges of optimizing your SOC, the benefits of using machine learning in threat detection, and a breakdown of 5 easy-to-understand use cases.
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Lean portfolio management: How to make the shift
By: Atlassian
Type: White Paper
In this paper, you’ll learn about the five important shifts that portfolio managers must make as they move to a lean approach to planning, funding, and tracking product development work. Read the full paper now.
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Build an Android app using the MobileData cloud service
By: IBM
Type: Webcast
Watch this video to learn how to augment a simple Android application with functionality provided by IBM Bluemix.
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Building an Android App using MobileData Cloud
By: IBM
Type: Webcast
Watch this video to learn how to augment a simple Android application with functionality provided by IBM Bluemix.
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Machine LearningPersonalize your customer experiences.
By: IBM
Type: White Paper
Use machine learning to uncover deeper predictive intelligence from your customer data. You could be with IBM Z.
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What is Digital Experience Monitoring (DEM)?
By: Nomios
Type: White Paper
The concept of Digital Experience Monitoring (DEM) is the process of measuring, analyzing, and optimizing the performance and UX of your digital applications and services. By focusing on how users interact with your platforms you will be able to identify issues or bottlenecks faster than before. Read on to learn more about this.
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Best practices for container security in the data center
By: TechTarget ComputerWeekly.com
Type: eGuide
Containers present unique security challenges and data centers must learn and adapt to those challenges. Although containers might present certain unfamiliar security risks, data center admins who work with them can learn several effective ways to keep their container environments safe.
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A network automation roadmap to reap tech's best benefits
By: TechTarget Networking
Type: eBook
A network automation roadmap can help guide organizations through the Wild West of modern networking in order to reap benefits that automation can bring to employees, customers and partners. Reducing labor-intensive tasks does entail changing a network engineer's work, though.