The tech industry has kicked off 2024 with a wave of mass layoffs, and unfortunately, women are bearing the brunt of these job cuts. According to a recent report by NTT Data, women are 1.6 times more likely to be laid off in the tech sector compared to their male counterparts, as highlighted by statistics from the WomenTech Network.

Why Are Women Leaving Tech?​

The issue isn't just about layoffs; many women are also choosing to leave the tech industry on their own. Nearly 57% of women in Technology, Media, and Telecom (TMT) plan to leave their jobs within the next two years, citing poor work/life balance as a primary reason, according to WomenTech.

How Can We Retain Women in Tech?​

NTT Data offers several strategies to help employers retain women in the tech industry:

1. Encourage Mothers Back into the Workforce
   • There is a significant amount of untapped talent among mothers who have left the workforce. Companies should focus on accommodating these individuals, offering flexible work arrangements and part-time opportunities to attract them back.
2. Use an “Employee First” Strategy to Fill the Skills Gap
   • Employers should invest in training opportunities to help their current employees grow. This approach not only fills the skills gap but also makes employees feel valued and capable of advancing their careers within the organization.
3. Create a Gender-Inclusive Environment
   • A diverse team brings different perspectives and innovative solutions to challenges. Employers should start by revising their hiring practices to ensure they are inclusive.
   • It's also crucial to look internally and promote deserving individuals to higher positions, fostering a culture of growth and inclusivity.

Conclusion​

The tech industry must proactively address the gender disparity in layoffs and retention. By encouraging mothers back into the workforce, adopting an "employee first" strategy, and creating a gender-inclusive environment, companies can retain talented women and build a more diverse and innovative workforce. Let's work together to make the tech industry a more inclusive and supportive place for everyone.

Read the article: https://www.hrreporter.com/focus-ar...n-planning/how-to-retain-women-in-tech/386726

In the current phase of AI adoption within enterprises, leaders are now reviewing their early investments and integrations to measure and build on initial successes. By this stage, colleagues should be comfortable using AI to assist people and enhance process efficiency, aiming for higher quality outcomes with less effort.

However, it's crucial for organizations to consider not only the hard figures of the P&L but also the impact of new technologies and processes on their teams and talent. As with every evolution (and revolution), the initial excitement around new tools fades, and people find their own rhythm in using them. Simply put, without the right skills and culture in place, leaders won’t maximize the return on their AI investments. Culture always impacts how technology is used in practice.

Corporate culture and leadership—the "soft" but essential elements—play a significant role in supporting technology to prove its worth. The possibilities offered by even the best-executed AI technologies are only achievable with a well-integrated workforce, business processes, and agile leadership willing to listen to every part of a "three-body problem": AI/tech, people/skills, and culture/leadership. When viewed from this perspective, success becomes an equation: Success equals technology multiplied by the impact of the other components.

Take the Pulse—Regular Feedback is Key

Assuming that organizational leaders have developed a clear and sound strategy over the past couple of years to align AI investments with business objectives, and have made investments in either safe pilot schemes or transformational projects, it's time to go beyond finances and numbers. Leaders should check in on users and their expectations. Usage metrics alone don’t account for willing engagement versus grudging use. Understanding this difference can lead to better working experiences and stronger business outcomes.

Review the Impact of New Tools and Processes on Your People

• Are the tools being used as expected?
• How do employees feel about adoption?
• Are they using the tools as intended, with data privacy and security in mind, or are they using workarounds that compromise robust policy?

Ask probing questions from a spirit of honest inquiry. AI, perhaps more than almost any other technology, may elicit a wide range of human reactions. Leaders and colleagues may disagree on priorities, and society and organizations could have different views on how best to use their technologies and people. Intellectuals and social commentators are often split into two camps: the "doomers" and AI "boomers." For these reasons, listening and communicating with stakeholders is crucial. Don’t consider the issue or people’s concerns settled when every factor involved is constantly evolving.

Key Points to Consider:

1. Handle Changing Stakeholders and Review Processes: Stay adaptable and open to feedback from all stakeholders.
2. Don’t Neglect Skills and Training: Ensure continuous learning and development to keep up with AI advancements.
3. Success Equals Technology Plus Feedback, Processes, and Skills: Integrate technology with a strong feedback loop, efficient processes, and skilled personnel to achieve success.

By focusing on these areas, organizations can maximize their AI investments and drive meaningful, sustainable outcomes.

Read the article: https://www.forbes.com/sites/forbestechcouncil/2024/06/17/the-three-top-aspects-of-ai-success/

Hello

We were treated to a great session today by Ruth Wachelder, a general management specialist based in the Netherlands sharing her story. Ruth took us through her education and career path and told us about the 'say yes' attitude she developed in her youth. Watch the recording and refer to the slides to share in this inspiring story.

https://comptia.zoom.us/rec/share/m...TRA9PSSPiLABmvpe6EMG46u30ya0.zuqpoxVTnlGDcVZx

Passcode: 1f$M3#wP

Regards

Leanne

The Internet of Things (IoT) is revolutionizing various business sectors, from healthcare to retail, and has significantly impacted industries like manufacturing through automation. The Asia Pacific (APAC) region leads in IoT adoption, with IDC forecasting IoT spending to reach US$436 billion by 2025, growing at a CAGR of 10.4% from 2023 to 2027. This growth persists despite economic challenges, supply chain issues, and semiconductor shortages, driven by the demand for automation, remote capabilities, and 5G deployment.

Large-scale smart projects in APAC, such as Singapore's Smart Nation initiative and China's 900 smart city projects, have accelerated IoT use. However, the rise of IoT also increases cybersecurity risks. Unsecured IoT devices can introduce vulnerabilities, making them targets for cyber threats. Weak passwords, lack of encryption, and poor patching are significant security issues.

Attack Surface Management (ASM) is crucial for mitigating IoT-related risks. ASM encompasses all assets exposed to cyber threats, both external and internal, including IoT devices, public clouds, and internal systems. ASM is part of Exposure Management (EM), which includes Vulnerability Management and Validation Management. ASM itself consists of three main sections: External Attack Surface Management (EASM), Digital Risk Protection Services (DRPS), and Cyber Asset Attack Surface Management (CAASM).

Discussion Post:

The Growing Impact of IoT and the Importance of Cybersecurity

The Internet of Things (IoT) is transforming industries worldwide, with the APAC region leading the charge. IoT spending in APAC is projected to hit US$436 billion by 2025, driven by automation, remote capabilities, and 5G. However, this rapid growth brings increased cybersecurity risks. Unsecured IoT devices can introduce vulnerabilities, making them prime targets for cyber threats.

Attack Surface Management (ASM) is essential for mitigating these risks. ASM covers all assets exposed to cyber threats, including IoT devices, public clouds, and internal systems. It is part of a broader Exposure Management (EM) strategy, which also includes Vulnerability Management and Validation Management.

How is your organization managing the cybersecurity risks associated with IoT? Let's discuss the challenges and best practices in implementing effective ASM strategies.

Read the article: https://e27.co/securing-the-future-of-iot-why-attack-surface-management-is-key-20240421/

With the rapid proliferation of artificial intelligence (AI), leaders in all sectors must acknowledge its permanence and rapid advancement. AI has evolved from a whispered concept to an unavoidable reality.

AI is increasingly integrated into various industries, including healthcare, finance, manufacturing, retail, marketing, and education. AI enhances quality control, supply chain optimization, and inventory management in manufacturing, allowing human workers to focus on more engaging tasks. In retail, AI aids in demand forecasting, personalized marketing, and store layout optimization, improving customer satisfaction and sales. However, human workers remain essential for providing empathy and personalized customer service.

In hospitality, AI introduces virtual concierges and manages housekeeping schedules, but it won't replace back-of-house roles like chefs or front-of-house roles like waiting staff anytime soon. AI lacks the ability to provide empathy, creativity, and human connection, making workers with strong, soft skills highly valuable in an AI-driven economy.

AI in Recruiting and Staffing​

In recruitment, AI is used in applicant tracking systems (ATS) to scan resumes for keywords, determining who moves to the interview stage. While time-saving, this method can overlook highly qualified candidates who don't use the right keywords. At my company, we interview every candidate on a 1-to-1 basis to avoid this pitfall. Employers using an ATS should understand that leveraging AI is a learning process, and the outputs depend on the prompts provided. Incrementally increasing AI screening criteria and human review can improve effectiveness.

AI also matches workers with suitable roles more efficiently. My company uses a smart-matching algorithm for temporary roles, similar to LinkedIn's AI-driven job matching and profile tailoring advice.

Join the Discussion​

How is AI impacting your industry, and what strategies are you using to balance AI integration with the human touch? Share your thoughts and experiences!

Read the article: https://www.forbes.com/sites/forbes...ctor-trends-and-best-practices-for-companies/

Traditional Identity Management: A Flawed System Historically, centralized identity management systems have been plagued by inefficiencies and vulnerabilities. These systems often create single points of failure, making them easy targets for malicious actors. The lack of transparency further strips individuals of control over their personal information, leading to privacy breaches, inefficient data handling, and identity theft.

Blockchain: A Safer Alternative Blockchain technology offers a decentralized solution to these issues. By distributing control across a network, blockchain significantly reduces risks of corruption and failure. This digital renaissance in identity management enhances security and decentralizes power.

Key Benefits of Blockchain in Identity Management:

• Transparency: Users can monitor and control who accesses their data.
• Immutability: Historical records cannot be altered.
• Autonomy: Individuals can independently own and manage their personal data.

Real-World Applications Several startups and corporations are already leveraging blockchain to improve processes in areas like government documentation and consumer banking. Estonia's e-Residency program is a prime example, offering global citizens a government-issued digital identity secured by blockchain. This initiative ensures transparent and immutable access to personal data, facilitating secure digital interactions across borders.

The Future: Universal Digital Identity As blockchain technology continues to integrate into identity management, it promises a future where individuals possess a single, universal digital identity. This could simplify processes from airport check-ins to healthcare access, making repetitive documentation a thing of the past.

Join the discussion: How do you see blockchain transforming identity management in the next decade?

Read the article: https://www.forbes.com/sites/forbes...ain-identity-solutions-seeing-whats-possible/

The tech sector is making strides to improve gender diversity, but challenges remain. While efforts to hire women are increasing, many women are still leaving the industry due to persistent issues like sexism, lack of flexible work options, and return-to-office mandates.

As the industry faces a growing digital skills gap, retaining women in tech is crucial. Predictions indicate that the UK will need three million new digital jobs by 2025. However, one in three women in tech plan to leave their jobs, often due to inflexible work environments and limited career progression opportunities.

Karen Blake, co-CEO of Tech Talent Charter (TTC), highlights that denying women flexibility is a significant factor pushing them out of the workforce. The TTC reports that only 21% of senior tech roles are held by women or non-binary individuals, a gap that has widened since 2022.

To address these issues, companies are focusing on progression programs and creating pathways for women to return to tech, such as returnships and coding bootcamps. For instance, Deepana Naidu, a software engineer, found renewed passion and support through a Tech Returners bootcamp, which led her to thrive in a new role.

Discussion Questions:

1. What are the most effective strategies to retain women in tech?
2. How can companies better support women returning to the tech industry?
3. What role do flexible work options play in improving gender diversity in tech?

Read the article: https://www.itpro.com/business/careers-and-training/the-women-returning-to-tech-and-why-they-left

CompTIA certifications help millions of IT workers around the world validate their skills and advance their careers. Did you know that CompTIA Community members now get a huge 20% off CompTIA certifications? Learn how you can become a member and take advantage.

Im November findet wieder ein CompTIA Community - Regional Meeting im Raum DACH statt. Das ist nicht gerade bald aber man kann nicht früh genug mit der Planung anfangen. JEDER IST WILLKOMMEN ZU DIESEM KOSTENLOSEN In-Person MEETING.

Der Donnerstag, der 7.11. ist für generelle Themen gedacht. An diesem Tag findet auch der Workshop mit der Lego® Serious Play® Methode statt, der ca. 2,5-3h des Tages in Anspruch nehmen wird. Es wird auf jeden Fall spannend und viele werden über ihre eigene Kreativität überrascht sein - da bin ich mir sicher.
Freitag, der 8.11. wird wieder unser 'MSP Day' werden - auch hier freuen wir uns über Input und Vorschläge aus der Community! Hier ist auch jeder willkommen teil zu nehmen, die Agenda wird auf MSPs 'zugeschnitten' sein.

Also lasst uns gerne wissen, was Euch momentan im Channel beschäftigt, worüber ihr gerne fachsimpeln oder Euch austauschen würdet, etc.

LG,
Katrin

Hello everyone,

As you may be aware, CompTIA offers short courses in the Member Learning Portal.

Check out this blog for the top 10 courses for MSP's to take now.

In the face of economic, political, and cultural challenges, many companies retreat from their diversity, equity, and inclusion (DEI) commitments. However, now is the perfect time for DEI-driven leaders to reassess these commitments, understand their importance, and evaluate their current standing. Here are four actionable steps to help you on this journey:

1. Gather Data
   • Assess your current DEI status by examining recruitment practices, employee retention, and leadership promotions. Identify any patterns of bias and use these insights to recommit to your DEI goals.
2. Talk to Employees
   • Engage with your workforce to understand their perspectives on inclusion and value within the organization. Their feedback is crucial for driving DEI initiatives forward.
3. Double Down on Buy-In
   • Ensure that everyone in your organization understands the benefits of diversity. Highlight how diverse workplaces lead to greater success and innovation, fostering a supportive environment for DEI commitments.
4. Reignite Education
   • Move beyond one-time training sessions and integrate DEI into your company's fabric. Provide individualized learning opportunities and create safe spaces for continuous education and growth.

Zag While Others Zig On DEI Commitments During challenging times, it's easy to follow the trend of backsliding on DEI commitments. However, history shows that those who lean into innovation during crises often thrive. By maintaining and strengthening your DEI efforts, you can demonstrate your organization's commitment to fostering an inclusive environment where everyone can succeed.

Questions for Discussion:

1. What challenges have you faced in gathering data on DEI within your organization?
2. How do you ensure that employee feedback on DEI is effectively integrated into your initiatives?
3. What strategies have you found effective in gaining organization-wide buy-in for DEI commitments?
4. Can you share examples of how continuous DEI education has positively impacted your workplace culture?
5. How do you balance the need for immediate action with the long-term commitment required for meaningful DEI progress?

Let's discuss how we can collectively recommit to DEI and create lasting change in our organizations!

Read the article: https://www.forbes.com/sites/forbes...backslide-with-these-4-steps/?sh=38378e064910

Artificial Intelligence (AI) is revolutionizing the business world, driving growth, efficiency, and innovation. From intelligent chatbots to predictive analytics, AI is reshaping operations. However, as businesses adopt AI technologies, including off-the-shelf products like Anthropic's Claude, OpenAI's ChatGPT, Microsoft’s Copilot, and Google’s Gemini, they must address several legal and ethical challenges:

1. Intellectual Property Risks: AI relies on vast data, which may include copyrighted material and trade secrets. Businesses must secure rights and licenses to avoid infringement lawsuits. Review terms of service and licensing agreements for off-the-shelf products to understand IP risks and ownership.
2. Data Quality and Reliability: AI outputs depend on input data quality. Inaccurate or biased data can lead to flawed decisions. Ensure data accuracy and be aware that off-the-shelf product outputs may vary based on the provider's training data.
3. Data Privacy and Protection: AI often processes sensitive information, raising privacy concerns. Compliance with regulations like GDPR and CCPA is essential. Ensure off-the-shelf providers comply with data privacy laws.
4. Cybersecurity Threats: AI systems are vulnerable to cyber threats. Implement strong cybersecurity measures and assess the provider's practices for off-the-shelf products.
5. Transparency and Accountability: Many AI systems are "black boxes," making decision processes opaque. Inquire about transparency from vendors and consider the risks of relying on non-auditable systems.
6. Bias and Discrimination: AI can perpetuate biases in training data, leading to discriminatory outcomes. Identify and mitigate bias and be aware of inherent biases in off-the-shelf products.
7. Unique Risks of Off-the-Shelf AI: These products pose additional challenges, including unclear liability and lack of transparency. Understand who is responsible for harmful decisions and the limitations in auditing AI models.
8. Engaging with Outside Counsel: To navigate these challenges, businesses should engage with experienced outside counsel specializing in technology and data privacy law. Legal professionals can help assess risks, develop appropriate policies, and ensure compliance with relevant regulations. Ongoing legal guidance is essential as AI technologies and the regulatory landscape continue to evolve rapidly.
   
   Despite these challenges, businesses should not shy away from embracing AI, including off-the-shelf products. The potential benefits—such as innovation, efficiency, and competitive advantage—are too significant to ignore. However, it is crucial to approach AI adoption with a strong focus on legal compliance, ethical considerations, and risk mitigation.
   
   By proactively addressing these challenges, conducting thorough due diligence on AI providers, and implementing robust governance frameworks, businesses can confidently leverage AI to drive growth while ensuring responsible use.

Join the discussion on how businesses can effectively navigate these challenges and leverage AI responsibly. Share your thoughts and experiences!

Read the article: https://www.bizjournals.com/stlouis...-pitfalls-incorporating-ai-into-business.html

Historically, identity management processes have been plagued by inefficiencies and vulnerabilities. Traditional systems, often centralized, create single points of failure that are susceptible to exploitation by malicious actors. These systems lack transparency, stripping individuals of control over their personal information and leaving them vulnerable to privacy breaches, inefficient data handling, and identity theft.

Blockchain: A Safer Alternative for Managing Identities​

Blockchain technology offers a promising alternative to traditional identity management woes through its decentralized nature. This decentralization ensures that no single entity controls the entire network, significantly reducing risks of corruption or failure. Mirroring the transition from a centralized state system, blockchain represents a digital renaissance in identity management—a move towards decentralizing power and enhancing security.

Blockchain functions as a distributed ledger technology, recording transactions with an immutable cryptographic signature known as a hash. This secures each transaction and maintains user privacy through advanced encryption techniques. Beyond transactional security, blockchain revolutionizes identity management by enabling:

• Transparency: Users can monitor and control who accesses their data.
• Immutability: It prevents the alteration of historical records.
• Autonomy: Individuals can independently own and manage their personal data.

Several startups and established corporations are already leveraging these benefits to refine processes ranging from government documentation to consumer banking, providing tangible examples of blockchain's impact.

Universal Digital Identity​

As blockchain integrates more deeply into identity management, it promises a new era of digital interaction in which individuals might possess a single, universal digital identity verifiable on any platform without repetitive documentation. This could simplify processes from airport check-ins to healthcare access across borders.

Estonia is a pioneer in digital identity and governance. Its e-Residency program allows global citizens to obtain a government-issued digital identity and access a platform of services such as company formation, banking, and taxation. The system uses blockchain technology to secure the personal data of e-residents, ensuring that access to and use of this data is transparent and immutable. This initiative demonstrates how blockchain can facilitate secure and efficient digital interactions across national boundaries.

Ethical Hurdles in Blockchain-Based Identity Management​

However, the widespread adoption of blockchain for identity management also poses significant ethical challenges, including concerns about privacy, surveillance, and the digital divide. Addressing these issues is crucial in shaping a balanced future landscape of identity management.

• Establishing Interoperable Standards: Developing and adopting interoperable standards is crucial to fully realizing the benefits of blockchain-based identity management systems. These standards will ensure that different blockchain systems can communicate with each other, enabling identity verification across various platforms and industries. This approach will also help reduce the risks associated with the digital divide and ensure that new systems can integrate with legacy platforms.
• Enhancing User-Centric Privacy Controls: Blockchain allows users to control their personal information more. By developing systems that prioritize user consent and provide clear, manageable privacy settings, organizations can empower individuals to manage their data proactively. This strategy boosts user trust and aligns with global privacy regulations such as the GDPR, enhancing border compliance.
• Fostering Public-Private Partnerships: Collaboration between governments, private sector players, and nonprofits will benefit the development of blockchain-based identity systems.

Conclusion​

The transition to blockchain-based identity management systems represents a significant security, transparency, and user autonomy leap forward. However, the journey is fraught with ethical and technical challenges that must be addressed to create a balanced and inclusive digital future. By establishing interoperable standards, enhancing user-centric privacy controls, and fostering public-private partnerships, we can pave the way for a more secure and efficient identity management landscape.

Read the article: https://www.forbes.com/sites/forbes...utions-seeing-whats-possible/?sh=2490cdc94684

The Internet of Things (IoT) has revolutionized our daily lives, work environments, and interactions with the world. The IoT network is vast and continuously expanding with over 17 billion connected devices today, ranging from smart home thermostats to complex industrial sensors.

In corporate boardrooms, IoT has become a top-three technology priority. However, as our dependence on these interconnected devices increases, so does the vulnerability of our data and infrastructure. A single compromised device can jeopardize an entire network, underscoring the critical need for robust security measures.

What Does IoT Security Look Like Today?

IoT security today is characterized by rapid growth and escalating risks. The number of connected IoT devices is expected to double by 2030, with forecasts predicting a surge to 25 billion devices by 2027 and around 30 billion by the decade’s end. The International Data Corporation projects that IoT devices will generate nearly 80 zettabytes of data annually by 2025.

However, this technological boom comes with significant challenges. The increasing volume of devices and data generation creates a complex web of connectivity where each new device introduces potential vulnerabilities. In early 2023, there was a 41 percent spike in weekly attacks per organization targeting IoT devices, a concerning trend that has persisted into 2024.

A report by Asimily highlights the gravity of these challenges, noting that routers, which account for 75 percent of IoT device infections, are primary targets due to their critical role in network access. Other frequently attacked devices include security cameras, digital signage systems, medical devices, and industrial control systems.

Common Hurdles in IoT Security

1. Heterogeneous Nature of Devices: IoT devices range from simple sensors to complex industrial machinery with unique hardware and software configurations. This diversity makes it challenging to establish a one-size-fits-all security strategy.
2. Expansive Attack Surfaces: The diversity and quantity of IoT devices create a vast attack surface for cybercriminals. This surface expands further when everyday activities involve IoT technology, such as using a mobile device to accept credit card payments.
3. Lack of Standardization: The IoT industry lacks unified security standards, resulting in a fragmented ecosystem where devices operate on different protocols and standards. This lack of standardization complicates the implementation of comprehensive security measures.
4. Legacy System Vulnerability: Many IoT environments incorporate legacy systems that are not designed with modern cybersecurity threats in mind. These older systems often cannot be updated or patched, making them easy targets for attackers.
5. Data Privacy and Integrity: The vast amount of data generated and transmitted by IoT devices poses privacy and data integrity risks. Ensuring the confidentiality, integrity, and availability of this data is paramount. However, the decentralized nature of IoT networks makes it difficult to control access and protect data from interception or alteration.

How to Strengthen IoT Security

As IoT networks grow, safeguarding sensitive data and maintaining network integrity is crucial. Here are essential strategies to enhance IoT security:

1. Profile Every Device: Gain a comprehensive overview of all connected IoT devices. Use manual discovery or specialized monitoring tools to ensure visibility and effective management.
2. Segment Devices: Divide the network into distinct sections to enhance security and performance. Segmentation isolates devices, confining the impact of cyberattacks on compromised segments.
3. Implement Zero-Trust Architectures: Adopt a zero-trust model that mandates continuous authentication and authorization. This reduces the risk of unauthorized access and lateral movement within networks.
4. Update Software: Regularly update software to address vulnerabilities. Enable automatic updates to ensure timely protection against known threats.
5. Perform Anomaly Detection: Continuously monitor for suspicious activities. Implement anomaly detection systems to identify and mitigate potential threats promptly.

As we continue to integrate IoT devices into our lives and industries, addressing these security challenges is crucial. Robust security measures and industry-wide standards are essential to safeguard our interconnected world.

Read the article: https://builtin.com/articles/iot-security-tackle-it

If you are reading this, and you're a CompTIA member, and you operate in the ANZ region. You should nominate yourself, a colleague, or an industry peer for the 2024 ANZ Spotlight Awards!

Nominations close on 14th June, so you still have lots of time.

Some tips:

Tips and tricks for writing award-winning entries (webinar)
Apply for industry awards and boost your business (blog)

Questions and comments are welcome below!

The CompTIA Community Benelux and UK&I Emerging Technology Interest Group Presents: Cutting Through the Hype: Practical Applications of Generative AI

Register and join experts Valérie Vernout and Jamie Claret for this complimentary session on 12 June 10.30-11.30am BST / 11.30-12.30pm CET

Register here: https://connect.comptia.org/events/registration?eventid=PAGA612

#CompTIACommunity

Over the past two decades, the Internet of Things (IoT) has evolved from a visionary concept to a tangible reality, fundamentally transforming how we interact with technology and the world around us. This maturation has been driven by technological advancements and shifting consumer needs.

The Early Days of IoT​

In the early 2000s, the advent of wireless connectivity, miniaturized sensors, and internet-enabled devices marked the birth of the IoT category. Initially, IoT applications focused on monitoring and optimizing industrial processes to enhance efficiency and reduce costs. These early deployments, while not 'smart' by today's standards, laid the groundwork for the widespread adoption of IoT across various sectors.

Recent Trends in IoT Adoption​

The past five years have seen a significant increase in IoT adoption and integration, fueled by several key trends:

1. Consumer Demand: The desire for convenience, security, and energy efficiency has driven the proliferation of smart home devices. From smart thermostats and lighting to connected appliances and security cameras, the average U.S. household now boasts around 16 connected devices.
2. Impact of the Covid-19 Pandemic: The pandemic accelerated IoT adoption in commercial sectors such as healthcare and remote monitoring. Telemedicine systems and IoT-enabled devices facilitated virtual consultations, patient monitoring, and chronic illness management, ensuring continuity of care while minimizing infection risks.

The Role of AI in IoT​

A significant development in the IoT landscape is the integration of Artificial Intelligence (AI). As IoT devices generate vast amounts of data, AI algorithms are employed to derive actionable insights and enable predictive analytics. Machine learning and deep learning techniques allow IoT systems to predict events, detect anomalies, and optimize real-time decision-making. This capability enables IoT devices to 'anticipate' user needs and accurately forecast equipment failures.

Transformative Applications of AI-Driven IoT​

The synergy between AI and IoT promises to revolutionize technology and society. AI-powered IoT devices, characterized by their intelligence, autonomy, and adaptability, are transforming various sectors:

• Healthcare: AI-driven IoT solutions are enhancing patient care and illness management.
• Transportation: Autonomous vehicles and smart transportation networks are becoming a reality.
• Manufacturing: Industry 4.0 is being enabled by AI-driven IoT solutions, optimizing production, quality control, and supply chain management.
• Retail: IoT devices with AI capabilities are blurring the lines between online and offline retail channels.

Industry Leaders Embracing AI in IoT​

Many leading companies are investing heavily in AI for IoT. For instance, Infineon Technologies, a semiconductor solutions provider, has strategically focused on IoT security, connectivity, and energy efficiency. Their pivot towards AI in IoT demonstrates a forward-thinking approach to the evolving technological landscape.

Strategic Integration of AI and IoT​

Integrating AI into IoT solutions enhances efficiency, adaptability, and predictive maintenance capabilities. It also optimizes energy consumption and strengthens security protocols, offering a comprehensive approach to IoT that meets the needs of both businesses and consumers.

In conclusion, the IoT market has come a long way from its early days, and the integration of AI is set to propel it even further. As we continue to innovate and adapt, the potential for IoT to transform our lives and industries is boundless. Let's discuss how these advancements are impacting your sector and what future developments you anticipate in the IoT space.

Read the article: https://www.forbes.com/sites/forbes...et-of-things-market-grows-up/?sh=700fbd3c80d0

Diversity, equity, and inclusion (DEI) initiatives are essential for fostering a positive and inclusive workplace. A diverse team brings varied perspectives, enhancing creative decision-making and bolstering employee morale, loyalty, and ethics. Research even suggests that DEI can positively impact a company's bottom line. Despite these benefits, many companies are scaling back on DEI initiatives, and new laws in some states are restricting efforts that support diverse hires and affirmative action as a whole.

Possible Reasons for the DEI Downturn​

Misunderstanding One reason for the slowdown in DEI initiatives is a fundamental misunderstanding of DEI goals. Some individuals perceive DEI as a threat to meritocracy, fearing that prioritizing diversity might compromise qualifications. However, DEI is about dismantling systemic barriers that prevent qualified individuals from fully participating and succeeding.

Resource Constraints Limited budgets often mean limited resources, which can hinder the implementation and sustainability of DEI initiatives. These initiatives can be seen as costly investments without immediate returns. However, the impact of DEI cannot be measured without proper metrics. Organizational leaders must be proactive rather than reactive to achieve desired results cost-effectively.

If you struggle in this area, consider defining your KPIs and metrics for DEI initiatives, such as representation metrics, retention rates, pay equity, or community engagement. Conduct projects with diverse groups and evaluate their performance. Calculate your ROI and assess whether the project was profitable or feasible.

Complexity and Challenges DEI issues are often complex and multifaceted, leading to uncomfortable conversations that some individuals may find daunting. However, these conversations are crucial for understanding and finding common ground. Pushing through discomfort can bring about meaningful change. Here are some key steps to facilitate these conversations:

• Actively Listen: Listen to all participants without judgment or interruption.
• Establish Ground Rules: Set clear ground rules to ensure respectful and constructive dialogue.
• Create Safe Spaces: Ensure team members feel comfortable sharing their ideas and experiences.
• Commit to Action: Develop an action plan with clear steps to achieve the discussion's goals within a realistic timeline.

3 Ways to Stay the Course​

As a nonprofit leader, how can you continue to guide children of color and young adults to greatness when DEI initiatives are slowing down or disappearing altogether? It's an added pressure when children depend on you to show them a brighter future. Here are three strategies I am employing to stay the course:

1. Strategize for Success: Develop a clear, actionable plan to keep DEI at the forefront of your organization's mission.
2. Find the Right Partners: Collaborate with like-minded organizations and individuals who share your commitment to DEI.
3. Prioritize Self-Care: Take care of yourself to ensure you have the energy and resilience to continue this important work.

Let's use this space to share our experiences, challenges, and strategies for sustaining DEI initiatives in our organizations. How are you navigating the current climate, and what steps are you taking to ensure progress?

Read the article: https://www.forbes.com/sites/forbes...rofit-through-dei-challenges/?sh=3dd0bbc1596f

AI has taken the world by storm since ChatGPT’s much-lauded debut in late 2022. From veterinary offices using AI to streamline documentation to Facebook and Instagram replacing their search bars with Meta’s AI assistant, businesses are increasingly embracing AI to improve operations and enhance user experiences. 64% of business owners believe AI will improve customer relationships and boost internal productivity.

However, despite its remarkable popularity and rapid proliferation, AI in business poses specific challenges that leaders must navigate carefully. Companies should prioritize fortifying the core fundamentals of their products and services before incorporating AI enhancements. Rather than getting caught up in the AI arms race between firms like OpenAI and Anthropic, businesses must leverage AI judiciously to augment already strong offerings tailored to their customer base.

Focus on Fundamentals

Leaders can cut through the AI hype and identify genuinely productive use cases by answering fundamental questions: What are users' needs? What problems need to be solved? How can we deliver exceptional value? Adding AI into the mix will only complicate operations without answers to these questions. Many businesses see AI as the silver bullet that will solve all their problems, but if they haven’t even identified the problems, how can AI be the solution?

Key Areas to Focus On:

1. Build a Solid Foundation: If you hope to layer an AI solution on top of messy data, think again. AI relies heavily on high-quality data to function effectively. If your tools and solutions aren’t properly integrated or information frameworks are unstructured, the data collected will be unreliable. This "dirty data" can lead AI astray, resulting in inaccurate outputs and potentially biased decisions.
2. Clarify Problem Identification: Focusing on fundamental features helps businesses identify the specific problems they want to solve. This targeted approach ensures AI is used for the right purposes and delivers real value. Chasing the latest AI trend without a clear problem can lead to a scattered and ineffective implementation.
3. Optimize Before Automating: Streamlining core functionalities can identify inefficiencies and areas for improvement within the business. Addressing these issues can enhance overall performance before introducing AI, guaranteeing that AI is layered onto a solid foundation and maximizing its impact.
4. Focus on Value: When you understand the bread and butter of your business, you can prioritize which aspects will benefit most from AI. This targeted approach avoids wasting resources on AI solutions that don't address core customer needs or provide clear ROI.
5. Prioritize: Jumping straight into AI can lead to chasing the latest technology trends instead of focusing on essential business challenges. Businesses with a strong grasp of their core functions are less likely to lose the plot and more likely to stay grounded in their purpose.
6. Manage Expectations: Without a clear understanding of the crux of your business, you might have unrealistic expectations about AI's capabilities. Focusing on core functions helps set realistic goals for what AI can achieve and prevents disappointment or frustration.

Focusing on your business’s core functionalities first allows you to build a strong foundation, ensuring that when you implement AI solutions, you do it strategically, address real problems, deliver concrete value, and avoid common pitfalls associated with rushed adoption.

AI is here to stay, and establishing robust groundwork is critical to leveraging the technology in smart ways to improve business operations and make your products stronger and more effective for your customer base. Ultimately, perfecting your business's core functions is the most effective way to achieve long-term business success.

Read the article: https://www.forbes.com/sites/forbes...o-basics-to-best-leverage-ai/?sh=68a7bf2bb370

We've talked about how Blockchain isn't just for cryptocurrencies. Here are the top 10 benefits of Blockchain technology for businesses:

1. Building Trust Blockchain helps businesses build trust with partners and customers by keeping a clear, unchangeable record of transactions. For example, Blockchain can prove that products are organic or sustainably sourced in supply chain management.

2. Improving Security and Privacy Blockchain offers better security and privacy. Each data block is linked to the one before and after it, creating a secure chain. Changing one block means changing every block linked to it, which is nearly impossible.

3. Reducing Costs Blockchain can cut costs, especially transaction costs. It allows direct transactions without middlemen like banks, which charge fees. For example, international payments can be sent directly in real time without extra costs.

4. Improving Speed and Efficiency Blockchain speeds up business processes by removing the need for middlemen and allowing direct peer-to-peer interactions.

5. Bringing Innovation Blockchain encourages innovation by offering new ways to handle data and transactions. For instance, in the music industry, Blockchain can allow artists to receive direct payments from listeners every time a song is played.

6. Streamlining Supply Chain Management Blockchain makes supply chain management more transparent. It records every transaction or movement of goods, which everyone involved can see but not alter. This helps verify product authenticity and track their journey from manufacturer to consumer.

7. Financial Processes Blockchain streamlines financial operations by making transactions faster and more direct. It reduces the time and cost associated with traditional banking. For example, businesses can pay overseas suppliers directly, cutting down the time from days to minutes and avoiding bank fees.

8. Creating Smart Contracts Smart contracts are self-executing contracts with terms written into code on the Blockchain. Once conditions are met, the contract automatically enforces itself without human intervention.

9. Implementing Transparent Payment Processes Blockchain offers high transparency because transactions are accessible to all parties involved and cannot be changed once confirmed. This builds trust among business partners and customers.

10. Bringing Customer Engagement Using Blockchain for loyalty programs and rewards can engage customers more deeply. It allows secure and flexible management of loyalty points, letting customers use them across different services and vendors.

Blockchain technology transforms businesses' operations by offering enhanced security, transparency, and efficiency. How is your business planning to leverage Blockchain? Let’s discuss it!

Read the article: https://www.blockchain-council.org/blockchain/benefits-of-blockchain-for-business/

Hi everyone,

This amazing event is coming up soon. It will be held at the Macdonald Burlington Hotel in Birmingham on June 26th.

We have a full day of amazing guest speakers and networking opportunities, followed by a change of pace.

The evening event is the CompTIA Community - UK & Ireland Meeting and Spotlight Awards for 2024. A real opportunity to get your glad rags on and support your industry peers.

If you didn't enter, there is always 2025. It could be you in the pictures below

Come along and support your industry peers, more info here: https://connect.comptia.org/events/view/comptia-community---uk-ireland-meeting-and-spotlight-awards

Complimentary for all CompTIA members.

Artificial intelligence (AI) revolutionizes how we consume and create data and information. However, this transformation comes with its own challenges, particularly the rise of fake content. This raises a crucial question: How can we trust what we hear, see, and consume on the Internet? Could existing technologies help address this growing lack of trust?

Interestingly, one such technology that might offer a solution is blockchain. Initially hailed as transformative, blockchain struggled to gain traction in the business world. However, its key features—decentralized data storage and transparent, immutable digital records—could be precisely what we need to bring accountability, privacy, and trust to AI.

High-Quality Data and AI

AI-enabled software and apps are making significant strides in various business sectors, offering real-time data access. However, they often face limited data access and authentication challenges. This frequently results in low-quality data, which can lead to inaccurate predictions.

Blockchain can be a game-changer here. It provides vast amounts of data not owned by any single entity, making it both immutable and accessible to everyone. Additionally, blockchain ensures the implementation and compliance of specific analytics, data, and rules securely and sequentially through "Smart Contracts." With their immutable digital records, these smart contracts can help us understand AI's framework and the source of its data, thereby addressing trust issues. The best part? Blockchain enables real-time access to high-quality data without compromising data security and privacy.

Real-World Application: MOBS

Take, for example, MOBS, a blockchain-based video marketplace for buying and selling smartphone videos. Users can put their videos up for sale, and potential buyers, like marketers, can sift through them to find what they need. The MOBS blockchain then creates a smart contract that directly apportions money to the content creator based on engagement views and rates. This ensures that all customer details, app data, and financial transactions are publicly accessible, immutable, and recorded in real time. The result is fair, secure, and faster transactions, guaranteeing data accuracy and authenticity and eliminating the need for intermediaries.

Join the Discussion

Could blockchain be the key to restoring trust in AI-generated content? How else might these technologies converge to solve data authenticity and security issues? Share your thoughts, and let's explore the possibilities together!

Read the article: https://www.sify.com/cryptocurrency/how-blockchain-can-solve-ais-trust-problem/

The price of doing the same old thing is far higher than changing. Not embracing digital innovations could leave your business in the digital dust, struggling with inefficiency, irrelevance, and invisibility in tomorrow's market. Why? Because the future speaks digitally, loudly, and clearly.

The Digital Revolution: A Necessity, Not an Option

Whether it's breaking down borders to connect the globe or using smart tech to better understand customers, digital innovations like AI, GenAI, AR/VR, blockchain, and low-code/no-code are the new superheroes of the business world.

Moreover, cutting-edge tech like IoT devices can observe consumption patterns of resources like water and energy and adjust systems automatically to operate more efficiently. This makes it easier for businesses to meet sustainability goals, reduce greenhouse gas emissions, and reduce company expenses.

The Reality of Digital Transformation

McKinsey reports that nine out of ten top executives have jumped on this speedy train with at least one large-scale digital transformation. However, Inc. highlights a stark reality: Merely 35% of organizations succeed in digital transformation.

The Need for Embracing Digital Innovations

Remember when emailing first seemed magical, transcending physical mail to connect people instantly? Now, digital innovations promise to transform thriving businesses similarly.

Discussion Points:

1. What are the biggest challenges your business faces in adopting digital innovations?
2. How can companies increase their chances of success in digital transformation projects?
3. Which digital innovations do you believe will have the most significant impact on your industry?
4. How can businesses balance the need for digital transformation with the potential risks and costs involved?

Feel free to share your thoughts, experiences, and strategies for embracing digital innovations and ensuring successful digital transformations!

Read the article: https://www.forbes.com/sites/forbes...embracing-digital-innovation/?sh=26da3b3b4b98

After years of promise and speculation, artificial intelligence (AI) for the business world is here, and it's shaping how companies, big and small, plan for the future. Businesses are increasingly investing in AI, and success stories about companies using AI to cut costs abound. Corporations no longer need to be persuaded to use the technology, but many are still stumped about how precisely AI fits into their operations.

Businesses are Interested in AI, but Their Use of It Varies

Most companies are at least thinking about how AI could affect their business. Goldman Sachs strategists found that 36% of S&P 500 companies mentioned AI in their fourth-quarter earnings calls this year. In a PwC survey of more than 4,000 CEOs around the world conducted last fall, 70% said they expected generative AI — a form of AI that creates content such as text and images — to significantly change the way their company creates, delivers, and captures value in the next three years.

"Every publicly traded company in the world today, whether in the US, UK, or Asian markets, is being asked by shareholders, 'What is your AI strategy?'" Umesh Sachdev, the CEO of the AI software provider Uniphore, told Business Insider.

Sachdev said that before the release of OpenAI's ChatGPT in 2022, companies bought AI as individual solutions for different parts of the business. Now, they are taking a more centralized approach and looking at AI "as a horizontal infrastructure for the whole business," he said.

Despite All the Chatter, Deployment Remains Low

A survey by MIT Technology Review Insights and the Australian telecoms company Telstra of 300 business leaders across Asia-Pacific, the Americas, and Europe found that while 76% of the companies had experimented with generative AI in 2023, only 9% had adopted the technology widely.

A paper from the National Bureau of Economic Research suggests that the manufacturing, information services, and healthcare industries had some of the highest levels of AI adoption in 2017, while construction and retail had some of the lowest.

For some companies, it's all hype and no action. Gary Gensler, the Securities and Exchange Commission chair, recently described companies that only purport to use AI as engaging in "AI washing." In March, two investment advisors accused of making false and misleading statements about their use of AI agreed to pay six-figure fines.

Discussion Points:

1. How can businesses overcome the challenges of integrating AI into their operations?
2. What are the potential risks of "AI washing" for companies and their stakeholders?
3. Which industries do you think will benefit the most from AI in the next few years, and why?
4. How can companies ensure they are using AI ethically and responsibly?

Feel free to share your thoughts and experiences on the topic!

Read the article: https://www.businessinsider.com/what-the-ai-revolution-means-for-business-2024-5