Innovation and Technology
Accessibility Testing Tools: Ensuring Inclusive User Experiences

The digital landscape is constantly evolving, with the rise of software and platforms for Diversity, Equity, Inclusion, and Accessibility (DEIA) becoming increasingly important. As technology advances, it is crucial to ensure that all users, regardless of their abilities, can access and engage with digital products and services.
The Importance of Accessibility Testing
Accessibility testing is a crucial aspect of software development, as it ensures that digital products and services are usable by everyone. This includes users with disabilities, such as visual, auditory, motor, or cognitive impairments, as well as those with temporary or situational disabilities, such as users in noisy environments or using mobile devices.
Challenges in Accessibility Testing
However, accessibility testing can be a complex and time-consuming process. It requires a deep understanding of the technologies and tools used in software development, as well as the needs of users with disabilities. Moreover, accessibility testing can be a manual and labor-intensive process, which can be costly and time-consuming.
Accessibility Testing Tools
Fortunately, there are various accessibility testing tools available to help streamline the process. These tools can help identify accessibility issues, automate testing, and provide recommendations for improvement. Here are some of the most popular accessibility testing tools:
1. W3C’s Web Accessibility Evaluation Tool (WAVE)
WAVE is a free online tool that analyzes web pages for accessibility issues. It identifies problems such as missing alt text, incorrect link text, and poor color contrast, providing recommendations for improvement.
2. Lighthouse
Lighthouse is an open-source tool developed by Google that audits web pages for accessibility, performance, and best practices. It provides detailed reports and recommendations for improvement.
3. Deque’s Axura
Deque’s Axura is a cloud-based accessibility testing tool that uses artificial intelligence to identify accessibility issues. It provides detailed reports and recommendations for improvement.
4. UserTribe’s aXe
aXe is a web accessibility testing tool that identifies accessibility issues, including keyboard-navigable menus, aria attributes, and color contrast. It provides detailed reports and recommendations for improvement.
5. IBM’s Accessibility Checker
IBM’s Accessibility Checker is a free online tool that analyzes web pages for accessibility issues, including missing alt text, incorrect link text, and poor color contrast. It provides recommendations for improvement.
Best Practices for Accessibility Testing
While these tools can help streamline the accessibility testing process, it is essential to follow best practices to ensure that digital products and services are accessible to all users. Here are some best practices to follow:
Conduct Regular Testing
Regular testing is crucial to ensure that digital products and services remain accessible over time. This includes testing for new features, updates, and bug fixes.
Involve users with disabilities in the testing process to ensure that digital products and services meet their needs. This can include user testing, usability testing, and accessibility testing.
Use Accessibility Standards
Use accessibility standards, such as the Web Content Accessibility Guidelines (WCAG 2.1), to guide the development of digital products and services.
Train Developers and Quality Assurance Teams
Train developers and quality assurance teams on accessibility best practices to ensure that they understand the importance of accessibility and how to implement it in their work.
Conclusion
Ensuring inclusive user experiences is crucial in today’s digital landscape. By using accessibility testing tools and following best practices, we can ensure that digital products and services are accessible to all users, regardless of their abilities. It is essential to prioritize accessibility testing and involve users with disabilities in the development process to create a more inclusive digital world.
FAQs
Q: What is accessibility testing?
A: Accessibility testing is the process of evaluating digital products and services to ensure that they are usable by everyone, regardless of their abilities.
Q: Why is accessibility testing important?
A: Accessibility testing is important because it ensures that digital products and services are inclusive and usable by everyone, regardless of their abilities. It also helps to prevent lawsuits and damage to a company’s reputation.
Q: What are some common accessibility testing tools?
A: Some common accessibility testing tools include W3C’s Web Accessibility Evaluation Tool (WAVE), Lighthouse, Deque’s Axura, UserTribe’s aXe, and IBM’s Accessibility Checker.
Q: How can I get started with accessibility testing?
A: To get started with accessibility testing, start by conducting a gap analysis to identify areas for improvement. Then, use accessibility testing tools to identify issues and provide recommendations for improvement. Finally, involve users with disabilities in the testing process to ensure that digital products and services meet their needs.
Q: What are some best practices for accessibility testing?
A: Some best practices for accessibility testing include conducting regular testing, involving users with disabilities, using accessibility standards, and training developers and quality assurance teams on accessibility best practices.
Innovation and Technology
Redefining RSAC Week

Introduction to the Piper Sandler Cybersecurity CEO Summit
As RSAC conference week kicks off in San Francisco, a quieter, more focused event is capturing the attention of cybersecurity’s top brass. Launched four years ago, the Piper Sandler Cybersecurity CEO Summit is an invite-only event that gathers 500 senior leaders—CEOs, CISOs and investors—for a day of meaningful dialogue that cuts through the noise.
The Need for a Focused Event
I sat down with Brian White, global head of technology investment banking at Piper Sandler, to learn more about the RSAC offshoot and what attendees can expect. “RSA has become a conference of conferences,” he explained. “What we felt was missing was a space where executives could truly engage with content—hear from their peers, learn from others in the industry and not just run from meeting to meeting.”
The Rise of Satellite Conferences
RSAC Conference remains the marquee gathering for the cybersecurity world—drawing tens of thousands of attendees and playing host to the year’s biggest product launches and keynotes. But as the event has grown, so has the appetite for more focused, content-rich side events. The Cloud Security Alliance Summit, B-Sides San Francisco and now the Piper Sandler Security CEO Summit have emerged as essential satellite conferences. These events offer niche communities—from practitioners and DevSecOps pros to boardroom decision-makers—a chance to dive deeper into the topics that matter most to them outside the buzz of the main expo floor.
A Curated Gathering for Security’s Power Players
The Piper Sandler summit is designed specifically for the decision-makers shaping the future of cybersecurity. The attendee list includes about 500 individuals, carefully split among CEOs, CISOs and top-tier investors—each group bringing a unique perspective and set of expectations to the table.
The event has earned credibility through a string of high-profile keynotes. “Year one, we had General Keith Alexander. Year two was Chuck Robbins. Then George Kurtz. This year, it’s Charlie Bell,” said White, highlighting the summit’s tradition of attracting executives with both insight and influence.
Key Themes for 2025
This year’s discussions are expected to gravitate around a few key topics. First, navigating a security market that remains challenging despite early-year optimism. Second, how identity has fully emerged as the new cybersecurity perimeter. And third, how AI is driving both innovation and consolidation within the industry.
“Operating in this market requires clarity and agility,” White said. “Companies can’t just sit back and wait for the tide to turn. They need to create their own destiny—whether that means focusing on profitability, finding the right acquirer or even building their own platform.”
He sees AI as a particularly disruptive force. While new AI startups are launching weekly, most won’t survive on their own. “They’re building cool features, not full companies,” he said. “They’ll either fold or get acquired—and we’re going to see a lot of AI M&A over the next year.”
Charlie Bell and the Platform Debate
Kicking off this year’s event is Charlie Bell, executive vice president of security at Microsoft—a move that reflects not only Microsoft’s growing presence in the cybersecurity space but also a deeper shift in how organizations view their security stack.
“Microsoft is now the largest security vendor in the world,” said White. “Charlie brings this rare combination of having led AWS’s cloud division and now shaping Microsoft’s security vision. I’m hoping he shares how Microsoft views itself versus Google, AWS and the best-of-breed approach that’s long defined our industry.”
Cybersecurity’s Geopolitical Crossroads
Closing the summit are Jen Easterly, former director of CISA, and Nicole Perlroth, journalist and author of This Is How They Tell Me the World Ends. Their discussion is expected to dive into the geopolitical undercurrents shaping global cybersecurity.
The Room That Matters
While RSA continues to grow in size and spectacle, Piper Sandler’s summit has quietly become one of the rooms that matter for those tasked with steering the industry forward. For executives who want clarity over chaos, substance over sizzle, this is where strategy happens.
Conclusion
In conclusion, the Piper Sandler Cybersecurity CEO Summit has established itself as a premier event for cybersecurity leaders to engage in meaningful discussions and shape the future of the industry. With its curated gathering of power players, focused content, and high-profile keynotes, the summit provides a unique platform for executives to create their own destiny and drive innovation in the cybersecurity space.
FAQs
Q: What is the Piper Sandler Cybersecurity CEO Summit?
A: The Piper Sandler Cybersecurity CEO Summit is an invite-only event that gathers 500 senior leaders—CEOs, CISOs, and investors—for a day of meaningful dialogue on the latest trends and challenges in the cybersecurity industry.
Q: Who attends the Piper Sandler Cybersecurity CEO Summit?
A: The summit is attended by about 500 individuals, carefully split among CEOs, CISOs, and top-tier investors.
Q: What are the key themes for the 2025 summit?
A: The key themes for the 2025 summit include navigating a challenging security market, the emergence of identity as the new cybersecurity perimeter, and the impact of AI on innovation and consolidation in the industry.
Innovation and Technology
The Rise of Artificial Intelligence in Hybrid and Remote Work: Opportunities and Challenges

With the increasing use of tools for hybrid and remote work, the modern workplace is undergoing a significant transformation. Artificial intelligence (AI) is playing a crucial role in this shift, enabling employees to work more efficiently and effectively from anywhere. As we explore the intersection of AI and remote work, it’s essential to consider the opportunities and challenges that arise from this powerful combination.
The Evolution of Remote Work
The concept of remote work has been around for decades, but it wasn’t until the COVID-19 pandemic that it became a necessity for many organizations. As a result, companies had to adapt quickly to new ways of working, leveraging technology to facilitate communication, collaboration, and productivity. This shift has led to the development of innovative tools and platforms that support remote work, including virtual meeting software, project management tools, and time tracking apps.
Benefits of Remote Work
Remote work offers numerous benefits, including increased flexibility, improved work-life balance, and reduced commuting time. With the absence of office distractions, many employees find they are more productive and focused when working remotely. Additionally, remote work allows companies to tap into a global talent pool, hiring the best candidates regardless of their geographical location.
Challenges of Remote Work
However, remote work also presents several challenges, such as communication breakdowns, technical issues, and social isolation. Without face-to-face interactions, team members may struggle to build relationships and establish trust. Moreover, remote workers may experience difficulties in separating their work and personal life, leading to burnout and decreased motivation.
The Role of Artificial Intelligence in Remote Work
AI is revolutionizing the way we work remotely, enabling employees to automate repetitive tasks, enhance collaboration, and make data-driven decisions. AI-powered tools can help with tasks such as email management, calendar organization, and data analysis, freeing up time for more strategic and creative work.
AI-Driven Communication Tools
AI-driven communication tools, such as chatbots and virtual assistants, are becoming increasingly popular in remote work settings. These tools can help facilitate communication, provide customer support, and even assist with language translation. For instance, AI-powered chatbots can help remote teams stay connected and informed, providing updates on projects and deadlines.
AI-Powered Project Management
AI-powered project management tools can help remote teams stay organized and focused, providing real-time updates and insights on project progress. These tools can also help identify potential bottlenecks and areas for improvement, enabling teams to make data-driven decisions and optimize their workflows.
Opportunities of AI in Hybrid and Remote Work
The integration of AI in hybrid and remote work offers numerous opportunities, including increased productivity, improved collaboration, and enhanced employee experience. AI can help automate routine tasks, provide personalized support, and facilitate knowledge sharing across teams.
Personalized Learning and Development
AI-powered learning platforms can provide remote workers with personalized learning and development opportunities, helping them upskill and reskill in areas relevant to their roles. These platforms can offer tailored recommendations, adaptive assessments, and real-time feedback, ensuring that employees are equipped with the skills they need to succeed.
Intelligent Virtual Assistants
Intelligent virtual assistants, powered by AI, can help remote workers manage their time, prioritize tasks, and stay organized. These assistants can also provide support with tasks such as email management, calendar organization, and data analysis, freeing up time for more strategic and creative work.
Challenges of AI in Hybrid and Remote Work
While AI offers numerous benefits in hybrid and remote work, it also presents several challenges, including job displacement, bias and fairness, and cybersecurity risks. As AI assumes more responsibilities, there is a risk that some jobs may become redundant, requiring workers to adapt to new roles and responsibilities.
Job Displacement and Skills Gap
The increasing use of AI in hybrid and remote work may lead to job displacement, as some tasks become automated. However, this also creates opportunities for workers to develop new skills and transition into roles that are complementary to AI.
Bias and Fairness
AI systems can perpetuate biases and discrimination if they are trained on biased data or designed with a particular worldview. It’s essential to ensure that AI systems are fair, transparent, and unbiased, providing equal opportunities for all employees, regardless of their background or location.
Best Practices for Implementing AI in Hybrid and Remote Work
To realize the benefits of AI in hybrid and remote work, organizations must adopt best practices, such as providing training and support, ensuring data quality, and fostering a culture of trust and transparency.
Change Management and Training
Organizations must provide employees with the training and support they need to work effectively with AI-powered tools and platforms. This includes change management, technical training, and soft skills development, ensuring that employees are equipped to thrive in an AI-driven work environment.
Data Quality and Security
AI systems are only as good as the data they are trained on, making it essential to ensure that data is accurate, complete, and secure. Organizations must prioritize data quality, implementing robust data governance policies and procedures to protect employee data and prevent cybersecurity breaches.
Conclusion
The rise of AI in hybrid and remote work presents numerous opportunities and challenges, from increased productivity and collaboration to job displacement and bias. As organizations navigate this new landscape, it’s essential to prioritize employee training and support, data quality and security, and a culture of trust and transparency. By adopting best practices and leveraging AI-powered tools and platforms, organizations can unlock the full potential of hybrid and remote work, driving business success and employee well-being.
Frequently Asked Questions
What is the role of AI in hybrid and remote work?
AI plays a crucial role in hybrid and remote work, enabling employees to automate routine tasks, enhance collaboration, and make data-driven decisions.
What are the benefits of AI in hybrid and remote work?
The benefits of AI in hybrid and remote work include increased productivity, improved collaboration, and enhanced employee experience. AI can help automate routine tasks, provide personalized support, and facilitate knowledge sharing across teams.
What are the challenges of AI in hybrid and remote work?
The challenges of AI in hybrid and remote work include job displacement, bias and fairness, and cybersecurity risks. As AI assumes more responsibilities, there is a risk that some jobs may become redundant, requiring workers to adapt to new roles and responsibilities.
How can organizations implement AI in hybrid and remote work effectively?
To implement AI in hybrid and remote work effectively, organizations must provide training and support, ensure data quality, and foster a culture of trust and transparency. This includes change management, technical training, and soft skills development, ensuring that employees are equipped to thrive in an AI-driven work environment.
What is the future of AI in hybrid and remote work?
The future of AI in hybrid and remote work is exciting and rapidly evolving, with new tools and platforms emerging to support remote work. As AI continues to advance, we can expect to see even more innovative applications, from augmented reality to blockchain, transforming the way we work and collaborate.
Innovation and Technology
Zoom Revolutionizes Work With AI

Introduction to Agentic AI
In the bustling world of artificial intelligence, where buzzwords come and go faster than Silicon Valley startups, one term is genuinely reshaping how we think about work: agentic AI. While most companies are still figuring out how to implement basic generative AI tools, Zoom is already several steps ahead, quietly building AI systems that don’t just respond to commands but actively anticipate needs, reason through complex problems, and take autonomous action.
What Makes AI Truly "Agentic"?
According to XD Huang, Zoom’s Chief Technology Officer, agentic AI represents the fulfillment of a dream that tech visionaries have pursued for generations. "Software has been maturing, and intelligence has been the dream for many generations," he explains. "Finally, with the evolution of generative AI large language models, the capability reached the stage that this is the beginning of the application of agentic AI." But what distinguishes genuinely agentic systems from the increasingly crowded AI landscape? Huang defines four essential characteristics: reasoning capability, long-term memory, proactive and autonomous behavior, and task orchestration abilities.
Key Characteristics of Agentic AI
- Reasoning capability
- Long-term memory
- Proactive and autonomous behavior
- Task orchestration abilities
From Video Conferencing To AI Productivity Hub
While many still think of Zoom primarily as a video conferencing platform, the company has been undergoing a significant transformation. "Zoom is really transforming from a video conferencing company that is well known in every country to an AI-first productivity company," Huang states. At the center of this transformation is Zoom’s AI Companion, which Huang describes as your "chief of staff." This AI assistant exemplifies Zoom’s new vision, summarized elegantly by Huang: "We are transforming from meeting to milestone. The reason we’re having meetings is we want to achieve our next milestone."
AI Companion: A Glimpse Into The Future Of Work
What exactly can Zoom’s AI Companion do today? Far more than you might expect. During meetings, it doesn’t just record and transcribe conversations – it actively listens, reasons based on context, and identifies follow-up tasks. Huang describes how it assigns tasks to specific team members and, increasingly, can even execute those tasks autonomously. In one particularly telling example, Huang shared a personal experience: "I received a piece of email. I need to meet with three people but without the slot. I can just ask AI Companion to schedule a meeting with my opening slot. AI Companion will just do that on my behalf."
Examples of AI Companion’s Capabilities
- Scheduling meetings
- Assigning tasks to team members
- Executing tasks autonomously
- Drafting performance reviews based on past documents and decisions
The Power Of Small Language Models
While much of the industry obsesses over ever-larger language models, Zoom has taken a fascinating counter-approach by developing specialized small language models (SLMs). Specifically, they’ve created a 2 billion parameter model that achieves remarkable efficiency. Huang explains the strategy using an apt analogy: "The analogy I would say is like we have encyclopedia that got everything, but we also have specialty. We go very deep. The society needs both."
Finding Balance Between Automation And Human Touch
Despite his enthusiasm for AI’s potential, Huang emphasizes that humans remain central to Zoom’s vision. The company isn’t aiming to replace human collaboration but to dramatically enhance it. "We need to have personal AI Companion, AI Companion to learn your way of doing business. How much do you want to control?" This learning process mirrors the real-world relationship between executives and their support staff.
The Future Of Workplace Collaboration
When asked how agentic AI will transform workplace collaboration over the next few years, Huang returns to his core theme: "From meeting to milestone. Your milestone can be far more advanced because of the productivity, you can be more ambitious." He paints a picture of AI assistants that monitor relevant information around the clock, conduct research autonomously, and return with recommendations – all while keeping humans in control.
Conclusion
Zoom’s transformation offers valuable lessons for every business. While the company could have rested on its pandemic-fueled success, it has instead reimagined its entire purpose around a more fundamental human need: turning conversations into accomplishments. As Huang succinctly puts it: "Conversation is a human nature. That is not gonna change. We are still going to converse, and we are still going to speak. But the milestone and the completion, the bar will be much, much higher than what we have today."
FAQs
- What is Agentic AI? Agentic AI refers to artificial intelligence systems that can reason, plan, and act autonomously to solve complex problems.
- How is Zoom using Agentic AI? Zoom is transforming into an AI-first productivity company, using Agentic AI to enhance its video conferencing platform with capabilities such as autonomous task execution and personalized AI assistants.
- What is Zoom’s AI Companion? Zoom’s AI Companion is an AI assistant that acts as a "chief of staff," listening to conversations, identifying follow-up tasks, assigning tasks to team members, and even executing tasks autonomously.
- What are Small Language Models (SLMs)? SLMs are specialized language models with fewer parameters than large language models, designed to achieve efficiency and deep vertical expertise in specific tasks.
- How will Agentic AI change the future of work? Agentic AI is expected to enhance human collaboration by automating routine tasks, allowing for more ambitious goals, and providing AI assistants that can monitor information, conduct research, and offer recommendations, all while keeping humans in control.
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