How can AI shape your IT career?

We should never forget that AI is an IT product overall, yes AI will make some IT tasks and accordingly the resources performing it will be jobless however in return AI will create new horizon for the IT industry and will boost the echo system Already we saw many new platforms utilizing AI in different ways and we will continue to see more startups that use AI as main engine to create innovative offering So, either we understand the change and be part of it or we will be out…

Are you ready for ?? 1. Cross-disciplinary communication: ? Communicate effectively with professionals from various fields. ? Bridge the gap between technical and non-technical stakeholders. ? Facilitate collaboration between AI experts and other team members. 2. Cognitive flexibility: ? Be open to learning from AI-driven insights. ? Adjust your thinking to consider new information and perspectives. ? Adapt your strategies and plans in response to AI-generated data. 3. Future-proofing skills: ? Continuously develop relevant skills in the face of AI advancements. ? Identify areas where human expertise is most valuable. ? Engage in lifelong learning to stay ahead of AI-driven disruptions.

Production ready code generation, not just annotations but complete source with dependencies etc...check out Www.conektto.io The Generative Platform for Enterprise API Using GenAI for test data generation, check out Www.conektto.io for API test data. Using GenAI for Autonomous Testing, checkout Www.conektto.io for API Testing. Additionally: Observabiity and Self Healing Autonomous Modernization Autonomous tool chain Integration Process discovery and mining Autonomous Governance, Risk and Compliance Suggestive Thought leadership assistant Intelligent Data Transformation Generative Hyper Personalisation Intelligent Document Management Autonomous Intruder detection The future is Generative Development, Testing and Integration.

AI in some way or another like chat bots, automation etc. is now part of so many processes. As an IT professional understanding of these is needed for your own professional growth

I believe that AI can empower IT professionals to be more strategic, efficient, and effective in their roles. By leveraging AI's capabilities, IT careers can evolve and adapt to the changing demands of the industry, ultimately leading to career growth and success. IT professionals should stay curious, collaborate with AI, plan strategically, continue learning, prioritize cybersecurity, and demonstrate the value of AI in their roles.

With Generative AI tools you are immediately 40% more creative and productive in every IT role. If you code then CodePilot or CodeWhisperer can drive your code quality and efficiency up by 57%. If you are an IT leader who wants to 'sell' IT then you have ChatGPT/ Bing Bard and more to help craft an internal marketing strategy. Want help with generating answers to IT questions? That's covered too - it is called conversational AI with GenAI. Want L1 and L2s answered automatically (e.g., diagnose and reboot a VM, log the call in SNOW, send an update email and close the ticket) that's already there. Use and learn AI before your business asks, otherwise what value is a reactive IT dept that does not continually bring forward brilliant ideas?

Competitive Advantage: Employing AI technologies can give organizations a competitive edge, and as an IT professional, your proficiency in AI can make you a valuable asset. By leveraging AI tools and techniques, you can contribute to developing innovative products and services, enhancing customer experiences, optimizing processes, and gaining insights from data. This can help your organization stay ahead and increase its competitive advantage.

Definitely will boost your career! But not just tech knowledge and stay ahead of the curve. Ethicals and risk assessment of how to use it harmless. Head hunters, HR and recruiters must be also tuned to latest news and knowledge of this to know how to properly evaluate their candidates and or employees.

15 mins spent reading or listening to experts talk to AI is 105 minutes of learning a week or 5475 minutes of learning a year. You career and future prospects will depend on your using AI and 15 mins a day is nothing in comparison. Now you have no excuse not to learn.

Learning Curve: AI continuously evolves, and staying up-to-date with the latest advancements is crucial. Embracing AI in your IT career requires a commitment to ongoing learning and keeping pace with emerging technologies, algorithms, and best practices. This learning curve can be challenging but provides professional growth and development opportunities.

Ethics is so crucial when it comes to developing AI based application. You need to ensure the outputs are not biased. hence the inputs need to be managed accordingly. Don’t let any assumptions creep into AI model training which could lead to discrimination later

Ethical Responsibility: AI raises important ethical considerations, such as bias, privacy, transparency, and fairness. As an IT professional, it is essential to understand the ethical implications of AI and ensure responsible AI deployment. This includes considering the potential impact on individuals, society, and the environment. You can contribute to building trustworthy and responsible AI systems by addressing these ethical responsibilities.

If you are not going to learn it yourself… make sure your kids do. Set them up for success now and in the future. Most likely they will need various aspects of AI as both a skill and way of protecting themselves.

Career Path: AI presents various career paths within IT. You can specialize in specific AI domains like machine learning, natural language processing, computer vision, or robotics. Alternatively, you can focus on AI implementation, managing AI projects, or becoming an AI strategist or consultant. Additionally, AI opens doors to interdisciplinary roles that combine IT with fields like data science, business intelligence, cybersecurity, or healthcare. With the right skills and experience, you can shape a rewarding and diverse career in AI.

With AI increasingly applied across functions, the professionals who can connect the dots and speak the languages of both technologists and business leaders will be highly valued. This means mastering just enough of the key technical concepts to communicate effectively and asking the right business questions to steer strategy. Some roles where this crossover ability is critical include: AI program leaders who can manage comprehensive roadmaps and complex stakeholder ecosystems AI solution architects who can design tailored systems using the right mix of technologies AI ethics and governance leads who can balance risk, controls and public interest

As for the Data Science field in the past, the mix of AI and IT requires new capabilities. To work properly in this area you have to know IT world (processes, systems, etc.) business (goal, gap, market trends, etc.) and Artificial Intelligence (how to drive automation, where Large Language Model fails, etc.). To connect the dots is the key to create something that is really usefull for the company.

Generative AI will reshape industries, spark new creativity and permanently revolutionise work, but are you ready? AI is now accessible to everyone and as a result we are the very beginning of the transformation of EVERY companies through AI. No longer is AI the preserve of the rich, it has been democratised for ever. Now that will lead to change. But will you lead the change or be impacted by it? The choice is yours.

I also like to add AI and Data complements each other. AI and data are deeply intertwined, with data serving as the essential fuel that enables AI algorithms to learn and make predictions, while AI, in turn, enhances data quality, organization, and security. This symbiotic relationship is foundational to the rapid advancements in both fields, as AI relies on diverse and representative data to function effectively, and simultaneously empowers more sophisticated data analytics, governance, and protection strategies.

One particular use case, which many organisations are real seeing value is Code Augmentation. There are estimates of productivity gains for software engineers to the tune of 40 to 60 %. Github co-pilot, AWS code whisperer etc. provides GenAI capabilities which are game changing.

AI basically enables automation of repetitive tasks, increases efficiency and frees up human resources for more complex and creative endeavours. AI can process and analyze vast amounts of data, extracting valuable insights and patterns that can inform decision-making in various fields. It can assist in diagnosing diseases, predicting patient outcomes, and developing personalized treatment plans, leading to improved healthcare and potentially life-saving interventions, and it can be used even rescue missions in hazardous environments using computer vision.

Three points to remember: 1. BOT is our new team member: whether we like it or not, BOT is our co-worker. It can be our subordinate, our peer, or even our boss in the future. It is high time we are comfortable working with AI. 2. Learn from AI about AI: The best teacher to teach you quickly about AI is AI itself. I have been effectively using ChatGPT to learn about Natural Language Processing, Sentiment Analysis, Neural Networks, Deep Learning, etc. Believe me, it is one of the fastest ways to learn ??. 3. AI is your USP: Whatever your job role is, understanding & leveraging AI would make you stand out from the crowd.