Technical skills assessment platforms assist recruiting and hiring teams in expediting interviewing and hiring of qualified candidates for various technical roles such as software engineers and data scientists. These platforms are typically offered as a service and can be customized to suit an organization’s specific needs.
Technical skills assessment platforms are primarily used by industries that invest heavily in software development such as IT, engineering, manufacturing, retail, e-commerce, finance and banking. Hiring and recruitment teams can use these platforms for the following purposes: a) Interviewing and hiring external candidates for different technical roles ranging from full-stack developers to data scientists or cybersecurity experts; b) Engaging with candidates through social media; c) Mass virtual or in-person campus hiring. 
Organizations can also utilize technical skills assessment platforms to identify candidates for internal transfers. Some tools aid in reskilling and upskilling employees and writing effective role-specific job descriptions.

Technical Skills Assessment Platforms

3D Print Service Bureaus

3D Printing Workflow Software

4G and 5G Private Mobile Network Services

4PLs

5G Enterprise Data Services

5G Network Infrastructure for Communications Service Providers (Transitioning to CSP 5G Core Network Infrastructure Solutions ; CSP 5G RAN Infrastructure Solutions)

A/B Testing Tools

AI Avatars

AI Code Assistants

AI Offerings in CSP Network Operations

AI and Data and Analytics (D&A) Service Providers

AI in CSP Customer and Business Operations

AI-Augmented Software-Testing Tools

AI-Enabled Interview Intelligence

AI-Enabled Translation Services

AIOps Platforms

API Management

API Protection

Absence Management Software

Access Management

Account-Based Marketing Platforms

Account-Planning Tools

Accounting Practice Management Software (APMS)

Accounts Payable (AP) Recovery Audit Services

Accounts Payable Invoice Automation Solutions (Transitioning to Accounts Payable Applications)

Active Metadata Management

Ad Tech Platforms

Ad Verification Tools

Adaptive Project Management and Reporting

Advanced Analytics Service Providers for Marketing

Advanced Contract Analytics

Advanced Distribution Management Systems

Affiliate Marketing Platforms

Alternative Legal Service Providers (ALSPs)

Analytics Query Accelerators

Analytics and Business Intelligence Platforms

Analytics and Decision Intelligence Platforms in Supply Chain

Anti Money Laundering (AML) Software

Applicant Tracking Systems (ATS) (Transitioning to 'Talent Acquisition (Recruiting) Suites')

Application Composition Platform

Application Crowdtesting Services

Application Delivery Controllers

Application Development Life Cycle Management

Application Integration Platforms

Application Platforms

Application Portfolio Management Tools

Application Security Posture Management (ASPM) Tools

Application Security Testing

Application Testing Services, Worldwide

Artificial Intelligence Applications in IT Service Management

Asset Investment Planning Solutions for Energy and Utilities

Asset Leasing Software

Asset Performance Management Software

Audience Intelligence Platforms

Audit Management Solutions

Augmented Analytics

Augmented Data Quality Solutions

Augmented Reality Development Software

B2B Customer Community Platforms

B2B Gateway Software

B2B Marketing Automation Platforms

B2B Profit Optimization Software

BPM-Platform-Based Case Management Frameworks

Background Check Software

Backup as a Service

Balance Sheet Management Software

Banking Payment Hub Platforms

Bankruptcy Software

Barcode Software

Benchmarking Services for Transportation Rates and Logistics Performance

Benefits Management Software

Blockchain Advertising Platforms

Blockchain Consulting and Proof-of-Concept Development Services

Blockchain Platforms

Blockchain as a Service

Brand Advocacy Services

Brand Compliance Software

Brand Protection Software

Brand Strategy Agencies

Breach and Attack Simulation (BAS) Tools

Business Continuity Management Program Solutions

Business Process Automation Tools

Business Process Management Platforms

Business Valuation Software

Business-Outcome-Driven Enterprise Architecture Consulting

CPS Protection Platforms

CRM Customer Engagement Center

CRM and Customer Experience Implementation Services

CRM in Life Sciences

CSP 5G Core Network Infrastructure Solutions

CSP 5G RAN Infrastructure Solutions

CSP Customer Management and Experience Solutions

CSP Revenue Management and Monetization Solutions

CSP Service Design and Orchestration Solutions

CSP Service and Network Assurance Solutions

Candidate Relationship Management (CRM) Software

Capital Investment Management Software

Carbon Accounting and Management Software

Carbon Offset Platforms

Cash Flow Management Software

With optimisation and automation opportunities we are seeing, leadership skills, growth mindset and emotional intelligence will reign supreme. 
Micromanagers beware

Technology development and evolution historically offered leaders great opportunities to innovate, break the rules, establish new ways of producing goods and services. From the early industrial revolution to the recent AI and ML breakthroughs, technology has provided new platforms to rethink how we engage with each other, help society grow and get things done. This requires the ability to constantly learning and imagining a new role for humans, in the context of a highly tech-driven environment. So for me leaders should certainly keep up the pace with tech developments, but keep focusing on leading people. The role of human beings might change, but in the end we remain fairly basic forms of life that need guidance, support, empathy, direction. AI, ML, quantum computing will make us more effective, but we remain the fragile individuals that happen to spend a tiny fraction of time on this beautiful planet.

I’d add technical strategy to some of the excellent ideas already raised. Leaders must be able to translate business problems into technology problems. They need to look at technology organizations as strategic partners that they can bring business challenges to. Leaders must have the background to articulate their business unit’s needs and define solution requirements.

For AI, that means functional and reliability requirements. Each technology wave delivers value in a unique way. Leaders must understand what use cases data and AI service better than an alternative. Businesses operate in a multi-technology environment, so technical strategy will become increasingly critical.

Well ... If you ask the question of ChatGPT one of the answers which you could get back is ....


In an era of exponential technology and AI innovation, leaders need to possess certain fundamental capabilities to navigate the rapidly changing landscape and effectively harness the potential of these advancements. Here are some essential leadership capabilities for this context:


1. Technological Literacy: Leaders must have a solid understanding of emerging technologies, such as artificial intelligence, machine learning, robotics, and automation. They should stay updated with the latest trends, developments, and potential applications of these technologies. This literacy enables leaders to make informed decisions, drive innovation, and effectively communicate with technical experts.


2. Adaptability and Agility: The pace of technological change demands leaders who can adapt quickly to new circumstances, embrace uncertainty, and lead with agility. They need to be open to learning, flexible in their thinking, and comfortable with experimentation. Embracing change and encouraging a culture of continuous learning and adaptation is crucial.


3. Strategic Vision: Leaders need to develop a clear and compelling vision for their organizations in the context of exponential technology and AI innovation. They should be able to anticipate future trends, identify new opportunities, and set strategic directions that leverage these technologies to drive growth and competitive advantage.


4. Ethical and Human-Centric Mindset: As technology continues to advance, leaders must prioritize ethical considerations and ensure that AI and other technologies are developed and deployed in a manner that aligns with human values and societal well-being. They should be committed to responsible innovation, addressing potential biases, privacy concerns, and the impact on jobs and society.


5. Collaboration and Team Building: Effective leaders understand the importance of collaboration and cross-functional teamwork. They foster an environment where diverse perspectives are valued, encourage interdisciplinary collaboration, and build teams that can work effectively with emerging technologies. Collaboration with external partners, such as startups, research institutions, and industry networks, also becomes crucial for accessing expertise and driving innovation.


6. Continuous Learning and Reskilling: Leaders must prioritize their own continuous learning and reskilling to keep up with the evolving landscape. They should encourage and support ongoing learning opportunities for their teams, enabling them to acquire new skills and competencies required in an era of AI and exponential technology. Lifelong learning becomes essential for leaders and their organizations to remain competitive.


7. Change Management and Transformation: The advent of AI and exponential technology often requires significant organizational change and transformation. Leaders must have strong change management capabilities to guide their teams through these transitions. They should be adept at inspiring and motivating employees, managing resistance to change, and creating a culture that embraces innovation and digital transformation.


8. Emotional Intelligence: As technology takes on more routine tasks, leaders need to focus on developing their emotional intelligence (EQ). EQ skills, such as empathy, self-awareness, and effective communication, become critical in leading diverse teams and fostering collaboration. Leaders who can understand and empathize with the impact of technology on individuals and address concerns will be more successful.


9. Risk Management: With the introduction of new technologies, leaders must be adept at assessing and managing risks effectively. They should be able to navigate the ethical, legal, and security challenges associated with AI and exponential technology. Balancing innovation with risk mitigation strategies becomes crucial to ensure responsible and sustainable deployment.


These fundamental leadership capabilities can empower leaders to navigate the complex and dynamic landscape of exponential technology and AI innovation, seize opportunities, and drive positive impact within their organizations and beyond.

an incomplete list but traits you will need.


- coaching and mentorship skills to build an excellent team. the world moves too fast for hero leaders so built a team capability 
- ability to PR and sell what you are bringing forward to the business
- tech AND business (finance, strategy, understand the fundamentals of a business) skills
- a joy and interest in bringing great tech solutions to the business in advance of their needing them or their realising they need them
- listening skills - it is not about you it is about the business
- the ability to admit your wrong before your sunk cost sky rockets - experiment and if it does not work then get out of that project and reinvest the money elsewhere
- agility in method and mind


and then some more.   the best leaders are unicorns.

I would add change management training and skills - someone who can use stakeholder collaboration, conflict resolution, agility/adaptability, and project management to manage and guide people and organizations through the change process, ensuring successful outcomes.

In my view as generative AI era unfolds, leaders need to embody a blend of qualities such as adaptability, visionary thinking, effective communication, empathy, and trustworthiness. In addition to these traditional qualities, a deep understanding of various tech domains including AI, Machine Learning, Natural Language Processing, and Cloud Computing is crucial. By honing these skills and embracing the technology evolution, leaders will be able to spearhead their organizations into the future.

Adaptability, work ethic, curiosity, persistence, business and AI skills as well as the ability to develop and recruit exceptional multi skilled change agents with tech and people skills who can grow a business in multiple simultaneous directions.

These leadership capabilities can help leaders effectively lead in an era of exponential technology and AI innovation: Technological Literacy, visionary Thinking, adaptability, decision-making. I'd add technical strategy to some of the excellent ideas already raised.

In an era of exponential technology and AI innovation, effective leaders need to possess key capabilities. They should be technologically literate, adaptable, and possess visionary thinking to navigate the evolving landscape. Ethical decision-making, collaboration skills, and emotional intelligence are essential for responsible and human-centered leadership. Strategic foresight enables leaders to anticipate trends and leverage exponential technologies for long-term success. By embodying these capabilities, I believe leaders can drive innovation, create a positive organizational culture, and make a meaningful impact in the era of technological advancement.

- Vision and Strategic Thinking
- Critical Thinking
- Problem Solving Skills 
- Adaptability and Flexibility
- Emotional Intelligence
- Lifelong Learning

Being a Leader, One should have below capabilities in the era of Exponential Technology and AI Innovations - 

1. Tech Savvy, A leader must curious to learn and understand the changes in Technology. 

2. Open Mind, An open mind to understand the business requirements and benefits available to Business from AI and Technology. 

3. Quick Learner, This is the most important skills, especially in this era, Learning should be continuous and in right direction. 

4. Change Enabler, Instead of resisting the change, A leader accepts it with strategic approach and generate friction which is better for the business with the given changes. 

5. Strategic, A leader should be good in making quality strategies and doesn’t hesitate in implementing the same. 

6. Communication Skills, The most important quality of a leader is to have good communication skills. This skill can lead to a big success for personal and enterprise level.

- Good understanding of customer wants / needs
- Flexibility
- Diversification in skills
- Good understanding of previous market disruptions

For me those organisations that are using the EXO2 methods are making strides in sustainable growth with the 6 D's.  
Digitisation: This refers to the process of converting analog information into digital format. It allows for easier storage, manipulation, and distribution of data. For example, the digitisation of music transformed the industry from physical CDs to digital streaming platforms like Spotify.


Deception: Deception occurs when exponential technologies are in their early stages and may not seem significant or disruptive. However, their impact grows exponentially over time. An example of deception is the early stages of electric vehicles, which were initially seen as inferior to traditional gasoline-powered cars but are now becoming more popular and disruptive.


Disruption: Disruption happens when exponential technologies reach a tipping point and fundamentally change an industry or market. Examples include the disruption of the taxi industry by ride-sharing platforms like Uber, or the disruption of the hotel industry by Airbnb.


Demonetisation: Demonetisation refers to the reduction or elimination of the cost of goods and services due to exponential technologies. This can make products or services more accessible and affordable. For instance, the cost of genome sequencing has dramatically decreased over time, enabling personalized medicine and healthcare.


Dematerialisation: Dematerialisation is the process of replacing physical products with digital or virtual alternatives. This allows for greater efficiency and reduces resource consumption. An example is the dematerialization of books into e-books, reducing the need for physical paper and printing.


Democratisation: Democratisation involves making resources, knowledge, and opportunities accessible to a broader audience. This allows for greater participation and empowerment. Examples include the democratization of education through online platforms like Khan Academy, or the democratisation of finance through crowdfunding platforms like Kickstarter.

Everything that makes a human human. Once we take the robot out of the human, we need to give the leaders the skills that often get overlooked - empathy, being visionary, coach and mentor people, problem solving etc. This all start with the leadership

In an era of exponential technology and AI innovation, there are several fundamental leadership capabilities that are crucial for success. These capabilities differ from previous leadership styles due to the unique demands and complexities associated with these advancements. Here is a comparison between leadership styles from the past, present, and future stages:

1. Past Leadership Style:
 - Command and Control: In the past, leadership style often emphasized hierarchical decision-making and a top-down approach. Leaders were expected to possess technical expertise and provide clear instructions to subordinates.

2. Present Leadership Style:
 - Collaborative and Adaptive: In the present, leadership style has shifted towards collaboration and adaptability. Leaders recognize the importance of engaging employees, fostering teamwork, and being responsive to change.

3. Future Leadership Style:
 - Visionary and Tech-Savvy: In the future, leadership style will need to embrace a visionary mindset and be grounded in technological expertise. Effective leaders will be required to understand the potential of exponential technologies and AI innovation and strategically leverage them for organizational success.

Key Leadership Capabilities for the Future:

1. Technological Literacy: Leaders must develop a deep understanding of emerging technologies such as AI, machine learning, robotics, and blockchain. This literacy enables them to identify opportunities and make informed decisions regarding their organization's technological investments.

2. Continuous Learning: With technology advancing rapidly, leaders must be committed to ongoing learning and development. This includes staying updated on the latest industry trends, attending conferences, and engaging in continuous education programs.

3. Adaptability: Future leaders must be agile and adaptable, capable of responding swiftly to disruptions and changing market dynamics. They should be comfortable with uncertainty and be able to inspire their teams to embrace change.

4. Ethical Decision-Making: As AI and technology play an increasingly significant role, leaders must prioritize ethical decision-making. They should establish ethical guidelines, promote transparency, and ensure responsible AI usage within their organizations.

5. Visionary Thinking: Leaders must possess a clear vision and a forward-thinking mindset. They should be able to communicate a compelling narrative and inspire their teams toward a shared future direction.

6. Collaboration and Empathy: Building collaborative and empathetic relationships with team members, stakeholders, and customers will remain crucial. Future leaders must foster a culture of inclusivity, open communication, and empathy to maintain high levels of employee engagement.

Overall, future leadership in the era of exponential technology and AI innovation requires a unique blend of technological expertise, adaptability, ethical decision-making, visionary thinking, collaboration, and empathy. Successful leaders will be those who can navigate the complexities of rapid technological advancements and inspire their teams to leverage these advancements for growth and innovation.

Being a lifelong learner is key. Staying curious about new tech and how to apply innovative developments in your specific business context. 


Almost everyone agrees we must learn new skills and retrain (or even reinvent) your careers, but the perseverance factor is also a key. 


For example, I heard a social media statistic that 95% of bloggers give up. (See this piece for more details: <a href="https://feveredmutterings.com/95-percent-bloggers-give-up?ref=pulseqa">https://feveredmutterings.com/95-percent-bloggers-give-up</a> ) 


Message: If you believe in something, stick with it. Learn, apply, grow, adapt (change), and succeed.

Vision and Charisma.

Skills can be acquired. 
Vision and charisma are innate talents that define true leaders.

Modern leaders need self-awareness &amp; empathy coaching and development.  They need to be able to identify, stand in and speak their core values in every conversation. They need to have a continued focus on the importance of personal development and growth of each and every employee. Leaders who continue to invest in technology without an equal investment in people development will fail. The short-term transactional way that leaders are treating people will be their ultimate downfall because good talent wants to work for good leaders who are invested in their growth and development. So many organizations have their eye on the fancy stuff yet are turning a blind eye to the fundamentals in how to get the most out of their people. It's all psychology, hierarchy of needs. Continued development of leaders EQ skills will be the winning formula. Like I say AI+EQ= WIN

In an era of rapid technological advancement, effective leadership hinges on a blend of technical understanding, innate curiosity, a relentless drive to learn and apply, and a clear vision. These qualities enable leaders to navigate, innovate, and guide their teams confidently through the complexities they will encounter.

Any large companies created "Digital" Teams and often they were not under the CIO org.  We saw the emergence of Chief Digital Officer (CDO not the Chief Data Officer) in some of the companies, to identify the new Digital revenue opportunities leveraging the emerging technologies like AI, IoT, Digital Twins, especially in the companies that have physical operations and are not purely services companies.  Such Digital teams, have the culture of experimentation and often looked at use of Digital Platforms as the building blocks for these new capabilities with monetization of data and insights in mind.

For me those organisations that are using the EXO2 methods are making strides in sustainable growth with the 6 D&#39;s.  
Digitisation: This refers to the process of converting analog information into digital format. It allows for easier storage, manipulation, and distribution of data. For example, the digitisation of music transformed the industry from physical CDs to digital streaming platforms like Spotify.


Deception: Deception occurs when exponential technologies are in their early stages and may not seem significant or disruptive. However, their impact grows exponentially over time. An example of deception is the early stages of electric vehicles, which were initially seen as inferior to traditional gasoline-powered cars but are now becoming more popular and disruptive.


Disruption: Disruption happens when exponential technologies reach a tipping point and fundamentally change an industry or market. Examples include the disruption of the taxi industry by ride-sharing platforms like Uber, or the disruption of the hotel industry by Airbnb.


Demonetisation: Demonetisation refers to the reduction or elimination of the cost of goods and services due to exponential technologies. This can make products or services more accessible and affordable. For instance, the cost of genome sequencing has dramatically decreased over time, enabling personalized medicine and healthcare.


Dematerialisation: Dematerialisation is the process of replacing physical products with digital or virtual alternatives. This allows for greater efficiency and reduces resource consumption. An example is the dematerialization of books into e-books, reducing the need for physical paper and printing.


Democratisation: Democratisation involves making resources, knowledge, and opportunities accessible to a broader audience. This allows for greater participation and empowerment. Examples include the democratization of education through online platforms like Khan Academy, or the democratisation of finance through crowdfunding platforms like Kickstarter.

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

- Education paths - becoming a doctor is not going to be the top choice to a student, as AI can guide students based on their performance and ways of learning. &#34;the distribution of careers is going to shift which can cause a major disruption in the work-force&#34;.
- Children&#39;s way of thinking - AI will make basic tasks like reading and writing and drawing obsolete, these are essential parts of the child&#39;s growth need to develop specific parts of the brain.
- Teaching methods - Teachers play a role in a student&#39;s life, as unconventional teaching methods come to view, teachers will have to adopt them to support the new generation resulting in a shortage of qualified personnel. 
- IOT analysis - AI can go to the bits and bites of these devices, with the right processing power, AI can and will provide a one time set up deal for all new IOT&#39;s removing the need to have a human.

How do you think AI will disrupt business across industries? Add to my list: 1. Content creation 2. Photos and video production 3. Basic coding and debugging 4. Strategic analysis to be highly complimented 

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