The technology sector, known for its innovative prowess and dynamic evolution, still faces significant challenges regarding diversity and inclusion. Members of underrepresented groups often encounter systemic barriers that hinder their entry and progression within the industry. These challenges range from limited access to education and opportunities to systemic biases and a lack of representation at the leadership level.

Recognizing these obstacles, the tech industry is concerted efforts to broaden its perspective and embrace more diverse talent. Leaders within the sector are implementing practical strategies to dismantle long-standing barriers, aiming to create a more inclusive environment. Here, we explore specific challenges faced by underrepresented groups in tech, as highlighted by members of the Forbes Technology Council, and discuss actionable steps companies can take to promote diversity and inclusivity.

1. Combatting the Existing Absence of Diversity The tech industry often lacks diversity and inclusion, making it challenging for underrepresented groups to feel welcomed. To address this, companies must adopt inclusive hiring practices, provide training to combat unconscious bias and strive to create a more inclusive workplace culture.
2. Improving Accessibility for Disabled Individuals Accessibility remains a significant issue, with many tech environments assuming a baseline physical ability. Leveraging artificial intelligence can help remove barriers for employees with disabilities, enabling them to share information and perform tasks more efficiently. This approach fosters inclusivity and taps into a pool of untapped talent.
3. Redefining Expertise and Educational Requirements The tech industry's narrow definition of the "ideal" candidate often overlooks individuals with nontraditional backgrounds who possess grit, intellectual curiosity, and problem-solving skills. Companies should broaden their hiring criteria beyond technical expertise and prestigious degrees to include diverse perspectives and experiences.
4. Increasing Exposure to Technical Careers Underrepresented groups often lack exposure to technical career paths. Engaging in high school job fairs, offering internship programs, and providing mentorship can help break down these barriers, offering valuable experience and showcasing the possibilities within the tech industry.
5. Reevaluating Entry-Level Requirements Many entry-level positions in tech have requirements that may be unnecessary and exclude talented individuals from underrepresented groups. By focusing on "future skills" that can be developed through mentorship or on-the-job training, companies can open doors for a broader range of candidates.

Discussion Prompt: How is your organization addressing diversity and inclusion within the tech industry? Are there specific initiatives or strategies you've found effective in overcoming the barriers underrepresented groups face? Share your experiences and insights as we work together to create a more inclusive and diverse tech landscape.

Read the article: https://www.forbes.com/sites/forbes...n-tech-and-how-to-solve-them/?sh=1aef81f4498e

As we delve deeper into the digital age, two terms have emerged at the forefront of technological innovation: Artificial Intelligence (AI) and the Internet of Things (IoT). While AI continues to captivate our imagination with its boundless potential, the spotlight is increasingly shifting towards IoT for its ability to streamline operations and enhance efficiency across various sectors. However, as organizations integrate IoT into their business strategies, a critical concern arises about the security vulnerabilities associated with IoT devices.

Recent reports have highlighted a staggering 400% surge in IoT malware attacks since 2013, underscoring the allure of poorly secured IoT devices to cyber criminals. This alarming trend raises serious questions about the safety of corporate IoT networks and organizations' preparedness to tackle such threats. The question remains as we look towards 2024: How are companies gearing up to face these challenges?

To address this issue, it's crucial to examine the current landscape of IoT security and seek expert insights. A notable concern is the disconnect between networking and security teams within organizations, leading to dangerous blind spots and leaving IoT devices vulnerable to exploitation. Furthermore, the repercussions of IoT-related breaches are proving to be costlier than traditional cyberattacks, especially as businesses navigate the complexities of a hybrid work environment where employees increasingly rely on IoT devices. This reliance heightens the risk of Distributed Denial of Service (DDoS) botnets, which target IoT devices as attack entry points.

In light of these challenges, organizations must prioritize IoT security as much as their AI initiatives. Strengthening collaboration between networking and security teams and implementing comprehensive security protocols are critical to safeguarding IoT devices. Additionally, investing in IoT-specific cybersecurity solutions can provide an added layer of protection against the evolving landscape of cyber threats.

Integrating IoT into business strategies offers immense potential for operational efficiency and innovation. However, without robust security measures, the vulnerabilities associated with IoT devices could undermine these benefits and expose organizations to significant risks. As we move forward, the focus must be on developing and implementing effective security strategies to ensure the safe and successful adoption of IoT technologies.

How is your organization addressing IoT security challenges? Are there specific strategies or solutions you've found effective in mitigating the risks associated with IoT devices? Share your insights and experiences as we navigate the imperative of strengthening IoT security in the age of AI.

Read the article: https://www.techiexpert.com/urgent-need-to-secure-corporate-iot-devices/

The conversation around artificial intelligence (AI) in cybersecurity is both endless and essential. As technology evolves at an unprecedented rate, so does the sophistication of cyber threats. However, this rapid advancement is not without its benefits. The same technology that empowers malicious actors also drives the development of AI-powered network security solutions, offering unprecedented agility and intelligence in defending against cyber attacks.

Sponsored by Fortinet: Is AI the Key to Outsmarting Cyber Threats? Modern AI-driven tools are revolutionizing the way we approach cybersecurity, providing proactive protection, advanced detection capabilities, and unparalleled intelligence. But how exactly is AI reshaping the landscape of network security? Let's dive into three critical ways AI is making a difference:

1. AI as an Autonomous Learner One of the most significant advantages of AI in network security is its ability to learn autonomously. Unlike traditional security measures that rely on predefined rules, AI's dynamic learning engine continuously adapts based on new information. It analyzes vast amounts of data to identify and neutralize threats in real-time, evolving constantly to defend against new dangers proactively. This capability allows AI-powered solutions to respond to known threats and anticipate and mitigate emerging ones.
2. AI as a Holistic Collaborator AI stands out as a collaborative force that creates cohesive security environments. It acts as an independent, mind-reading teammate, bridging the gap between various tools, people, and processes. By synthesizing data from multiple sources, AI develops unified defense strategies and provides a comprehensive view of network environments. This integrated approach enhances decision-making and operational efficiency and allows unsupervised operation, ensuring all components work together seamlessly.
3. AI as a Rapid Responder Perhaps the most tangible benefit of AI in network security is its ability to speed up detection and response times significantly. AI-based virtual security analysts can turn what used to take days into a matter of minutes. They conduct thorough investigations to pinpoint threat sources, assess impacts, and implement remediation strategies. This alleviates the burden on staff and reduces the costs associated with security incidents—or prevents them altogether. In the fast-paced world of network security, where even minor delays can lead to significant breaches and costs, the speed and efficiency of AI are invaluable.

The integration of AI into network security heralds a new era for businesses, offering solutions as dynamic and intelligent as the threats they aim to counter. The role of AI in cybersecurity is indispensable, and embracing its capabilities is essential for fostering a secure, modern-day business environment. Let's discuss how we can leverage AI to enhance our network security strategies and ensure our businesses thrive in this ever-evolving digital landscape.

Read the article: https://www.cybersecuritydive.com/spons/the-top-3-ways-ai-power-supports-a-dynamic-business/712506/

First of all, choose an light drone frame is very important.

The load capacity , wheelbase and drone arm diameter of the frame will decide the motors, propellers and battery models.
Therefore, it is necessary to understand the parameters of the frame in advance.

Then prepare the following accessories.
Please make sure weld the plugs of motors, water pump, and FPV camera in advance.



If you want to assemble a 10L agricultural spraying drone, and the total weight of the full load is less than the certification requirement of 25kg,

then the E610M frame is an good option. The specifications are as follows:

Frame Specification

Wheelbase

1402mm

Frame (net weight)

3.6kg

Tank (net weight)

835.8g

Effective load

10kg

Expanded size

1472*1284*547mm

Folded size

772*703*592mm

Arm diameter

φ30mm

Optional color

Blue/White

Working temperature

-20-50℃

As the blockchain landscape continues to evolve, its applications are stretching far beyond the confines of cryptocurrency, infiltrating industries like banking, healthcare, and logistics with its promise of enhanced security and transparency. This expansion presents a golden opportunity for venture capitalists (VCs) to play a pivotal role in shaping the future of blockchain technology.

Blockchain: Beyond Cryptocurrency

Initially gaining fame as the backbone of cryptocurrencies, blockchain technology has proven its versatility as a decentralized digital ledger. Its ability to record transactions across numerous computers while maintaining transparency and security positions it as a revolutionary tool for various sectors. The technology's potential for securely transferring sensitive digital data has made it a valuable asset in fields ranging from entertainment to supply chain management.

The Vital Role of Venture Capital in Blockchain Innovation

Venture capitalists are uniquely positioned to accelerate the development of blockchain technology. By leveraging their resources, connections, and expertise, VCs can provide invaluable support to blockchain startups, fostering innovation and potentially reaping significant returns on investment. Here are four key areas where venture capitalists can make a substantial impact:

1. Mentorship: Offering guidance and advice to young entrepreneurs can help them navigate the complex landscape of blockchain technology, avoiding common pitfalls and steering towards success.
2. Connections: VCs can bridge the gap between blockchain startups and industry leaders, facilitating partnerships leading to groundbreaking advancements and market access.
3. Market Access: By providing startups with access to broader markets, VCs can help these companies scale more rapidly, reach a wider audience, and validate their technologies on a larger stage.
4. Capital: Beyond the obvious financial investment, strategic funding can empower startups to focus on innovation without worrying about financial constraints.

Conclusion

The role of venture capitalists in the blockchain ecosystem is more critical now than ever. As blockchain technology continues to find new applications and disrupt traditional industries, VCs have the opportunity to foster innovation and shape the future of this promising field. By investing in blockchain startups, providing mentorship, and leveraging their networks for market access, venture capitalists can significantly impact the pace of innovation, benefiting both the startups and their investment portfolios.

Discussion Questions:

1. What are blockchain startups' biggest challenges, and how can VCs help overcome them?
2. How can venture capitalists ensure they add value beyond just financial investment?
3. How can VCs stay ahead in understanding the rapidly evolving blockchain landscape to make informed investment decisions?

Let's explore these questions and the multifaceted role of venture capitalists in the burgeoning world of blockchain innovation.

Read the article: https://www.forbes.com/sites/forbes...upport-blockchain-innovation/?sh=509010c1fada

Commoditization has become a familiar concept in the ever-evolving landscape of information technology. From personal computers to smartphones and extending into the enterprise realm with databases and cloud systems, the ability to swap these technologies based on price and support services has been well-established. But the question now arises: Is artificial intelligence (AI) reaching this point of commoditization? Opinions on this matter are diverse.

Commoditization refers to the process where products or technologies become widely available and interchangeable, leading to the democratization of these offerings. When a product or technology reaches this stage, it no longer provides a competitive edge to enterprises, similar to how a well-wired electrical system is essential but not a differentiator. AI tools and platforms, especially generative AI, seem to be heading in this direction. With their widespread availability at little to no cost and increasing use across the board, AI may no longer offer a significant competitive advantage.

Reflecting on this phenomenon, Nicolas Carr, author and former editor of the Harvard Business Review, highlighted two decades ago in his work "Does IT Matter?" that IT had become a utility that everyone is expected to have. The affordability and availability of technology have leveled the playing field, eliminating the competitive advantage it once provided. This observation also rings true for AI; as it becomes a commodity, the focus shifts from the technology itself to how companies utilize it to produce processes and business outcomes.

Brian Fitzgerald, chief revenue officer at Augury, draws a parallel between AI and the evolution of e-commerce. Initially, e-commerce was a significant differentiator for companies, but today, it's considered standard and simply called shopping. AI will likely follow a similar trajectory, moving from a buzzword and novel enhancement to a standard expectation in business processes.

Furthermore, Scott Cook, Andrei Hagiu, and Julian Wright suggest in a recent Harvard Business Review article that while some companies may temporarily gain an edge by leveraging publicly available generative AI tools more effectively than their competitors, this advantage will be short-lived. As using these tools becomes a basic requirement, established companies must rethink their business strategies and find new ways to add value to their offerings.

This discussion raises important questions about the future of AI in the business world. As AI becomes more accessible and its novelty wears off, how will companies differentiate themselves? Will the focus shift from technology to the innovative application of AI in creating unique business outcomes? How will this commoditization impact the competitive landscape across various industries?

I invite you to share your thoughts and insights on AI's commoditization and its implications for the future of technology and business strategy.

Read the article: https://www.forbes.com/sites/joemck...ill-fade-from-view-by-design/?sh=4a58819c7769

As we stand on the brink of 2024, the global IoT market is poised to hit a staggering revenue of $1,387 billion, with projections indicating a climb to $2,227 billion by 2028, thanks to a robust CAGR of over 12.5%. This growth isn't just a number; it's a testament to the expanding realm of IoT applications, transforming not just our homes into smarter, more secure habitats but also promising a revolution in public safety across towns and cities.

The Expanding Horizon of IoT in Public Safety

IoT contributes to public safety in its unparalleled ability to gather and process diverse data types in real-time. This capability ensures authorized personnel can promptly access critical information about emergencies, enabling swift, informed decision-making. The precision of IoT sensors in pinpointing locations and sending alerts enhances the efficiency of rescue operations, potentially saving more lives and mitigating disaster impacts more effectively.

Exploring IoT Use Cases in Public Safety

While the spectrum of IoT applications in public safety is broad, a few standout examples illustrate its potential impact:

• Smart Buildings: Beyond the familiar terrain of home security, IoT extends its reach to public security through smart building systems. These systems, equipped with features like entry monitoring and video recording, not only aid in crime prevention but also ensure rapid response to emergencies by notifying authorities and initiating necessary actions, such as locking down the premises.
• Smart Streetlights: Transforming the basic utility of street illumination, smart streetlights equipped with IoT sensors, cameras, and microphones offer a multifaceted safety solution. By monitoring surroundings in real-time, they can detect anomalies and alert authorities, thereby playing a crucial role in accident prevention and enhancing urban safety.
• Smart Traffic Regulation: IoT's ability to alleviate traffic congestion through intelligent traffic light regulation demonstrates its potential to significantly improve urban living. By analyzing real-time road conditions, IoT-enabled traffic lights can adjust signals to optimize traffic flow, reducing the likelihood of jams and ensuring smoother, safer travel.

Addressing the Challenges Ahead

Despite the promising advancements, integrating IoT in public safety is not without its hurdles. Privacy concerns are a significant challenge, given the extensive data collection involved, including sensitive personal information. The ethical implications of such data usage, coupled with the vulnerability of IoT systems to cyberattacks, underscore the need for robust security measures and ethical guidelines to safeguard privacy and build public trust in IoT solutions for public safety.

Engaging the Community: Your Thoughts?

As we navigate the complexities and opportunities IoT presents in enhancing public safety, it's crucial to foster a dialogue on balancing innovation with ethical considerations and privacy protection. What are your thoughts on the potential of IoT in public safety? How can we address the challenges to ensure our communities' safer, smarter future?

Share your insights, experiences, and suggestions as we explore the evolving landscape of IoT and its role in shaping a safer, more connected world.

Read the article: https://bmmagazine.co.uk/tech/how-iot-can-enhance-public-safety/