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Innovation and Technology

AI and Manual Supply Chains

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AI and Manual Supply Chains

Introduction to Supply Chain Vulnerabilities

Nothing is more vulnerable than supply chains – everything and anything can rock them without notice. Tariffs, weather events, political disruptions, economic issues, worker shortages, and epidemics will always disrupt even the smoothest-flowing chains. Let’s not even get started on the 2020 Covid toilet-paper crisis. And we’re seeing the potential pain Apple is facing with tariffs on its manufacturing operations in China.

The Potential of Autonomous Supply Chains

Could self-managing, autonomous supply chains help companies rapidly adjust to such disruptions? Should they? A new survey of 1,000 C-suite executives out of Accenture says supply chains are the new untamed frontier for artificial intelligence. “Today, companies operate their supply chains mostly manually,” the Accenture report’s co-authors, Max Blanchet, Chris McDivitt, and Stephen Meyer, stated. “Such supply chains aren’t prepared to handle sudden disruption such as the recent tariff announcements.”

Limitations and Opportunities of AI in Supply Chains

Of course, no AI can predict political actions or natural disasters. But it can play a role in making it easier to switch off one supply route and switch on another. At this time, few executives in the Accenture’s survey currently have autonomy built into their supply chains – the average company’s supply chain is only 21% autonomous. “Few companies use AI to adjust sourcing strategies, reroute logistics and recalibrate inventory positions with minimal human intervention," the report states.

Current State of Autonomous Supply Chains

Only 25% of companies indicated that autonomous supply chains were a key priority for them. Only a very small fraction, four percent, aspired to reach full autonomy. Advancing autonomy in supply chains is “held back by concerns like data privacy, poor data quality, immature processes, and low trust in AI.”

Overcoming Challenges to Achieve Autonomy

There are two tall orders for achieving greater autonomy in supply chains. First, start with shattering functional silos, the researchers advise. “Autonomous decision-making requires unprecedented transparency across functions, processes and dependencies. Without end-to-end visibility, even the most sophisticated AI systems will fail to deliver meaningful value.” Processes also need to be simplified. “Companies that streamline operations and standardize processes will scale technology faster, adapt more quickly and accelerate AI learning cycles.”

Future of Autonomous Supply Chains

We’re likely not likely to see significant progress in supply-chain autonomy for at least 10 years, the researchers predict. By then, approximately 40% aspire to achieve a higher degree of autonomy where the system handles most operational decisions.

Characteristics of Autonomous AI-Powered Supply Chains

What does an autonomous AI-powered supply chain look like? Current automated systems "follow pre-set instructions and require human oversight – think of the cruise control function in a typical car," the Accenture team explained. “Autonomous systems include a degree of automation but go beyond it. They are enabled by AI agents that make decisions and perform tasks without human intervention.”

Benefits of Autonomous Supply Chains

Most executives agree that autonomous supply chains can deliver tangible advantages. Survey respondents expect a 5% increase in net income and 7% improvement in return on capital employed. Operationally, companies could slash order lead times by 27%, and boost productivity by 25%. Survey respondents believe autonomous supply chains to shorten the time it takes them to react to shocks by at least 62%, and recover from disruption 60% faster compared to today’s existing networks.

Recommendations for Business Leaders

The Accenture team advises business leaders to “build solid data foundations through a secure digital core, which standardizes platforms and governance frameworks.” Companies should also “invest strategically in AI-enabling technologies, starting with targeted pilots before scaling proven solutions.” Most importantly, they need to “restructure how people and technology collaborate, shifting human roles from routine execution to strategic guidance and oversight.”

Conclusion

In conclusion, autonomous supply chains have the potential to revolutionize the way companies manage their supply chains, enabling them to respond quickly to disruptions and improve their overall efficiency. While there are challenges to overcome, the benefits of autonomous supply chains make them an attractive option for businesses looking to stay ahead of the curve.

FAQs

Q: What is the current state of autonomy in supply chains?
A: The average company’s supply chain is only 21% autonomous, with few companies using AI to adjust sourcing strategies, reroute logistics, and recalibrate inventory positions with minimal human intervention.
Q: What are the benefits of autonomous supply chains?
A: Autonomous supply chains can deliver tangible advantages, including a 5% increase in net income, 7% improvement in return on capital employed, and operational improvements such as reduced order lead times and increased productivity.
Q: How can businesses achieve autonomy in their supply chains?
A: Businesses can achieve autonomy by shattering functional silos, simplifying processes, building solid data foundations, investing in AI-enabling technologies, and restructuring how people and technology collaborate.
Q: What is the predicted timeline for significant progress in supply-chain autonomy?
A: Significant progress in supply-chain autonomy is not expected for at least 10 years, with approximately 40% of companies aspiring to achieve a higher degree of autonomy by then.

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Innovation and Technology

DEIA in the Digital Age: How Technology Can Drive Inclusive Change

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DEIA in the Digital Age: How Technology Can Drive Inclusive Change

With the help of software and platforms for DEIA, organizations can now promote diversity, equity, inclusion, and accessibility like never before. The digital age has brought about a plethora of tools and technologies that can aid in creating a more inclusive and equitable environment. From AI-powered hiring tools to virtual reality diversity training, the possibilities are endless.

Understanding DEIA

Diversity, equity, inclusion, and accessibility (DEIA) are four interconnected concepts that aim to create a fair and just environment for everyone. Diversity refers to the presence of different groups or individuals with unique characteristics, experiences, and perspectives. Equity, on the other hand, focuses on providing equal opportunities and resources to all individuals, regardless of their background or circumstances. Inclusion is about creating a sense of belonging and valuing the contributions of all individuals, while accessibility refers to the design of products, services, and environments that can be used by everyone, including people with disabilities.

The Importance of DEIA in the Digital Age

In today’s digital age, DEIA is more important than ever. With the rise of remote work and online interactions, it’s easier for biases and discriminatory practices to go unnoticed. Moreover, the digital world can be a breeding ground for hate speech, harassment, and exclusion. Therefore, it’s essential to prioritize DEIA in the digital age to create a safe, inclusive, and equitable online environment.

Benefits of DEIA in the Digital Age

The benefits of prioritizing DEIA in the digital age are numerous. For one, it can lead to increased diversity and representation in the tech industry, which can result in more innovative and effective solutions. Additionally, DEIA can help to reduce bias and discriminatory practices, creating a more just and equitable online environment. Furthermore, DEIA can also lead to improved user experience, as products and services are designed to be accessible and inclusive to all.

Software and Platforms for DEIA

There are numerous software and platforms available that can aid in promoting DEIA. For instance, AI-powered hiring tools can help to reduce bias in the hiring process, while virtual reality diversity training can provide immersive and interactive training experiences. Additionally, accessibility testing tools can help to identify and fix accessibility issues in digital products, while inclusive language tools can aid in creating more inclusive and respectful language.

AI-Powered Hiring Tools

AI-powered hiring tools use machine learning algorithms to analyze resumes, cover letters, and other application materials to identify the most qualified candidates. These tools can help to reduce bias in the hiring process by removing identifiable information such as names, ages, and addresses. Moreover, AI-powered hiring tools can also help to identify diverse candidates who may have been overlooked by traditional hiring methods.

Virtual Reality Diversity Training

Virtual reality diversity training provides immersive and interactive training experiences that can help to increase empathy and understanding of different perspectives. These training experiences can simulate real-world scenarios, allowing participants to practice inclusive behaviors and responses. Moreover, virtual reality diversity training can also provide a safe and controlled environment for participants to discuss sensitive topics and share their experiences.

Accessibility Testing Tools

Accessibility testing tools can help to identify and fix accessibility issues in digital products. These tools can analyze websites, apps, and other digital products for accessibility issues such as color contrast, font size, and navigation. Moreover, accessibility testing tools can also provide recommendations for improving accessibility and provide training and resources for developers and designers.

Inclusive Language Tools

Inclusive language tools can aid in creating more inclusive and respectful language. These tools can analyze language for bias and suggest alternative language that is more inclusive and respectful. Moreover, inclusive language tools can also provide training and resources for writers, editors, and communicators to help them create more inclusive and respectful language.

Best Practices for Implementing DEIA in the Digital Age

Implementing DEIA in the digital age requires a strategic and intentional approach. Here are some best practices for implementing DEIA in the digital age:

Conduct a DEIA Audit

Conducting a DEIA audit can help to identify areas of improvement and provide a baseline for measuring progress. A DEIA audit can analyze digital products, policies, and practices for accessibility, inclusivity, and equity.

Develop a DEIA Strategy

Developing a DEIA strategy can help to guide efforts and provide a clear direction for promoting DEIA. A DEIA strategy should include goals, objectives, and metrics for measuring progress.

Provide Training and Resources

Providing training and resources can help to educate employees, developers, and designers about DEIA and provide them with the skills and knowledge they need to promote DEIA. Training and resources can include workshops, webinars, and online courses.

Engage with Diverse Stakeholders

Engaging with diverse stakeholders can help to provide insights and perspectives that can inform DEIA efforts. Diverse stakeholders can include employees, customers, users, and community members.

Challenges and Limitations of Implementing DEIA in the Digital Age

Implementing DEIA in the digital age can be challenging and complex. Here are some challenges and limitations of implementing DEIA in the digital age:

Bias in AI and Machine Learning

Bias in AI and machine learning can perpetuate and amplify existing biases and discriminatory practices. Therefore, it’s essential to prioritize fairness, transparency, and accountability in AI and machine learning systems.

Lack of Diversity and Representation

Lack of diversity and representation in the tech industry can lead to a lack of diverse perspectives and experiences. Therefore, it’s essential to prioritize diversity and inclusion in the tech industry to create more innovative and effective solutions.

Accessibility and Inclusive Design

Accessibility and inclusive design can be complex and challenging, particularly in digital products and services. Therefore, it’s essential to prioritize accessibility and inclusive design to create more equitable and just online environments.

Conclusion

In conclusion, DEIA in the digital age is more important than ever. With the help of software and platforms for DEIA, organizations can promote diversity, equity, inclusion, and accessibility like never before. However, implementing DEIA in the digital age requires a strategic and intentional approach, and there are challenges and limitations that need to be addressed. By prioritizing DEIA and providing training and resources, engaging with diverse stakeholders, and addressing bias and accessibility issues, we can create a more just, equitable, and inclusive online environment.

Frequently Asked Questions (FAQs)

Here are some frequently asked questions about DEIA in the digital age:

What is DEIA?

DEIA stands for diversity, equity, inclusion, and accessibility. It refers to the promotion of diversity, equity, inclusion, and accessibility in all aspects of life, including the digital age.

Why is DEIA important in the digital age?

DEIA is important in the digital age because it can help to create a more just, equitable, and inclusive online environment. It can also help to reduce bias and discriminatory practices, and promote diversity and representation in the tech industry.

What are some software and platforms for DEIA?

There are numerous software and platforms available that can aid in promoting DEIA, including AI-powered hiring tools, virtual reality diversity training, accessibility testing tools, and inclusive language tools.

How can I implement DEIA in my organization?

Implementing DEIA in your organization requires a strategic and intentional approach. You can start by conducting a DEIA audit, developing a DEIA strategy, providing training and resources, and engaging with diverse stakeholders.

What are some challenges and limitations of implementing DEIA in the digital age?

There are several challenges and limitations of implementing DEIA in the digital age, including bias in AI and machine learning, lack of diversity and representation, and accessibility and inclusive design issues.

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Innovation and Technology

Identity Governance Made Easy

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Identity Governance Made Easy

Introduction to Identity Governance

Identity is the frontline of today’s cybersecurity battles. Whether it’s stolen credentials, over-provisioned access, or dormant accounts, attackers have found that the easiest way in is often through the front door—by posing as someone who already belongs. And yet, for many organizations, the systems meant to manage identity and access are either too costly, too complex, or simply out of reach.

This tension is pushing the Identity Governance and Administration market to evolve. Even small and mid-sized organizations need identity tools they can deploy quickly, manage easily, and afford without budgetary gymnastics.

The Identity Gap for Growing Organizations

The cybersecurity community agrees: identity is the new perimeter. I talk to executives from technology and cybersecurity vendors across the spectrum. Regardless of the area of focus of the company or the solutions they provide, the discussion frequently comes back to the importance of identity security.

But that awareness hasn’t necessarily translated into action, particularly among resource-constrained companies. While Fortune 500 enterprises deploy full-fledged IGA platforms with lifecycle management, access reviews, and privileged access monitoring, smaller firms often make do with spreadsheets, email approvals, and best guesses.

The result? A growing identity gap where bad actors have more opportunities to exploit excessive access or outdated entitlements in environments with fewer safeguards.

I spoke with Subbu Rama, CEO of BalkanID, about these challenges. He explained, “If somebody gets into Tony’s account, acts as Tony, and Tony is not least privileged, now you actually have exposed too much in your company—and now that’s the keys to the whole kingdom.”

The Problem with Traditional IGA

Many IGA solutions were built in a different era—one where long implementation cycles, high-touch professional services, and six-figure price tags were the norm. They assumed companies had security teams to spare and the patience to customize workflows for months before realizing value.

The environment looks very different today. Organizations are leaner, faster, and operating in a digital landscape that changes daily. They need tools that can adapt just as quickly, not platforms that require a project manager just to get started.

A Shift Toward Lightweight, Modular Models

In response to growing demand from lean security teams, a new generation of IGA platforms is emerging. These solutions are built for speed, simplicity, and scalability. They can often be deployed in under an hour and are designed with modular features that organizations can enable as needed. But one of the most transformative aspects of this new model is how these platforms are priced.

Traditionally, IGA pricing has been a black box. Organizations are often required to sit through multiple sales calls before they get any sense of what the solution will cost—and even then, pricing is frequently bundled, inconsistent, or tied to long-term contracts. This lack of transparency creates friction and mistrust at a time when security teams need clarity and flexibility.

BalkanID’s new product, BalkanID Lite, challenges that approach. It’s a self-service offering designed for mid-market companies that need essential identity governance features without the enterprise-level price tag or implementation burden. What sets it apart isn’t just its features—it’s the way it’s priced.

BalkanID publishes clear, modular pricing directly on its website. Organizations can see what each component costs, pick only what they need, and understand exactly what they’re committing to. It’s an approach borrowed from consumer experiences—simple, upfront, and predictable.

“We wanted to solve [the problem] by making the pricing completely transparent,” Rama explained. “Just like you buy cars now—hey, do I want a low-end model? That’s all I care about, like a Model 3? Sure. Here’s the Model 3. Want a Model X? Here’s the pricing for a Model X.”

By removing the need for negotiations and eliminating hidden fees, this model empowers customers to make informed decisions based on their actual needs and budgets. It also reflects a broader trend in SaaS: transparency is becoming a feature, not just a nice-to-have.

From Compliance Checkbox to Security Cornerstone

The evolution of tools is important, but so is the mindset shift. For years, identity governance was viewed primarily as a compliance necessity—something done quarterly to satisfy auditors. That’s no longer enough.

As threat actors grow more sophisticated, identity governance must become continuous and dynamic. Least privilege can’t be a one-time review—it needs to be a living principle embedded into how access is granted, adjusted, and revoked. The challenge is balancing that level of control with the need for business agility.

Building the Future on Flexibility

According to Rama, the future of identity governance is modular. It’s accessible. It’s aligned with how companies actually work today. For SMBs and mid-market players, that means having options that don’t require tradeoffs between productivity and protection.

It also means recognizing that the value of a security tool isn’t just in its features—it’s in how quickly and consistently it delivers results without becoming a burden to manage.

As companies reassess their security priorities, identity governance is getting the long-overdue attention it deserves. And thanks to this wave of more agile, transparent, and user-friendly platforms, that attention might finally translate into action.

Because identity risk isn’t reserved for the Fortune 500—and neither should be the tools to manage it.

Conclusion

In conclusion, the identity governance landscape is undergoing a significant shift. Traditional IGA solutions are being replaced by more agile, modular, and transparent platforms that cater to the needs of small and mid-sized organizations. The introduction of clear and transparent pricing models is a key factor in this shift, empowering customers to make informed decisions and driving adoption. As the cybersecurity landscape continues to evolve, it is essential for organizations to prioritize identity governance and invest in solutions that can keep pace with their growing needs.

Frequently Asked Questions (FAQs)

Q: What is identity governance, and why is it important?

A: Identity governance refers to the processes and technologies used to manage and govern user identities within an organization. It is essential for preventing cyber threats, ensuring compliance, and protecting sensitive data.

Q: What are the challenges faced by small and mid-sized organizations in implementing IGA solutions?

A: Small and mid-sized organizations often face challenges such as limited resources, complex implementation processes, and high costs when implementing traditional IGA solutions.

Q: How are new IGA platforms addressing these challenges?

A: New IGA platforms are being designed with speed, simplicity, and scalability in mind. They offer modular features, transparent pricing, and self-service capabilities that cater to the needs of small and mid-sized organizations.

Q: What is the significance of transparent pricing in IGA solutions?

A: Transparent pricing in IGA solutions empowers customers to make informed decisions, eliminates hidden fees, and reduces the need for negotiations. It also reflects a broader trend in SaaS, where transparency is becoming a key feature.

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Innovation and Technology

10 Digital Transformation Case Studies Every Business Leader Should Know

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10 Digital Transformation Case Studies Every Business Leader Should Know

Digital transformation strategies are revolutionizing the way businesses operate, and it’s essential for leaders to stay ahead of the curve. In this article, we’ll share 10 digital transformation case studies that every business leader should know, highlighting the benefits and challenges of implementing these strategies. From improving customer experience to increasing efficiency, these case studies will provide valuable insights for businesses looking to thrive in the digital age.

Introduction to Digital Transformation

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers. This transformation involves a cultural shift, requiring organizations to be more agile, innovative, and customer-centric. By leveraging digital technologies such as cloud computing, artificial intelligence, and the Internet of Things (IoT), businesses can improve efficiency, reduce costs, and create new revenue streams.

Benefits of Digital Transformation

The benefits of digital transformation are numerous, including improved customer experience, increased efficiency, and enhanced competitiveness. By automating manual processes and leveraging data analytics, businesses can make informed decisions, reduce costs, and improve productivity. Additionally, digital transformation enables businesses to respond quickly to changing market conditions, innovate new products and services, and create new business models.

Digital Transformation Case Studies

Here are 10 digital transformation case studies that every business leader should know:

1. Domino’s Pizza: Digital Ordering and Delivery

Domino’s Pizza has undergone a significant digital transformation, enabling customers to order and track their pizzas online. The company has invested heavily in digital technologies, including mobile apps, social media, and data analytics. As a result, Domino’s has seen a significant increase in sales and customer satisfaction.

2. Walmart: E-commerce and Supply Chain Optimization

Walmart has transformed its e-commerce platform, enabling customers to shop online and pick up their orders in-store. The company has also optimized its supply chain, using data analytics and IoT sensors to track inventory and shipping. As a result, Walmart has improved its online sales and reduced costs.

3. General Electric: Industrial Internet and Predictive Maintenance

General Electric has transformed its industrial operations, using the Industrial Internet to connect machines and devices. The company has also implemented predictive maintenance, using data analytics and machine learning to predict equipment failures. As a result, GE has improved efficiency, reduced downtime, and increased productivity.

4. Uber: Mobile App and Ride-Sharing Platform

Uber has disrupted the taxi industry with its mobile app and ride-sharing platform. The company has used digital technologies such as GPS, mapping, and payment systems to create a seamless customer experience. As a result, Uber has become one of the most successful startups in the world.

5. Amazon: E-commerce and Cloud Computing

Amazon has transformed the retail industry with its e-commerce platform, enabling customers to shop online and have their orders delivered quickly. The company has also invested heavily in cloud computing, providing infrastructure and services to businesses and individuals. As a result, Amazon has become one of the most successful companies in the world.

6. Siemens: Digital Twin and Predictive Maintenance

Siemens has transformed its industrial operations, using digital twin technology to create virtual replicas of physical assets. The company has also implemented predictive maintenance, using data analytics and machine learning to predict equipment failures. As a result, Siemens has improved efficiency, reduced downtime, and increased productivity.

7. Coca-Cola: Digital Marketing and Customer Engagement

Coca-Cola has transformed its marketing strategy, using digital technologies such as social media, mobile apps, and data analytics to engage with customers. The company has also implemented a loyalty program, rewarding customers for purchasing its products. As a result, Coca-Cola has increased customer engagement and loyalty.

8. Maersk: Digital Supply Chain and Container Tracking

Maersk has transformed its supply chain operations, using digital technologies such as IoT sensors and data analytics to track containers and predict shipping times. The company has also implemented a digital platform, enabling customers to track their shipments and access documentation. As a result, Maersk has improved efficiency, reduced costs, and increased customer satisfaction.

9. Nike: Digital Marketing and E-commerce

Nike has transformed its marketing strategy, using digital technologies such as social media, mobile apps, and data analytics to engage with customers. The company has

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