Closer Consulting’s Post

Data Analytics (data, analytics and AI or any combo thereof) is, by and large, considered a technical field. Those who continue to go deeper in the subject matter and keep up with the latest & greatest, usually do well. At some point though, the passion and pace for learning new things diminishes, and that's when the fear of irrelevance starts to creep in. This is especially true for many who entered this field by chance (and not first choice), as well as those who entered the field mid-career i.e. who did not wrestle with data while growing through the ranks.   The feeling related to the fear of irrelevance / uncertainty about future growth has, sadly, been a common theme in various career conversations I've had over the last 6 months - all thanks to GenAI. And this time, it is different, unlike a similar sentiment that did the rounds with "Big Data".   In my experience, folks who have diverse experiences and skills, are able to better adapt to changing work dynamics. And as GenAI disrupts various aspects of data analytics, skill diversification, through education, vocation, or experience, becomes critical for risk mitigation. It is akin to a diversified portfolio in investments - it helps lower overall risk.   One needs to evaluate what your area of work would look like 2-3 years from now. Reach out to experts in your industry, AI experts, folks in academia to get their inputs, and then do DAT-   - Go Deeper (course work, self-study, new types of projects) in your subject area; - Go Adjacent (identify adjacent work areas, upskill in those and network); - Go Tangential (plan to reinvent as this job/role has limited shelf life);   The last one is arguable the most difficult so the sooner you plan for it the better. So stop going in circles, and do DAT! It will help you better adapt to the changing work landscape, expand career horizons, and remove self-doubt! #dataanalytics #genai #careerdevelopment #bigdata #allthingsdata (Image generated using Ideogram) 👊

After a #bootcamp, our alumni are able to apply for different roles in #data. 📊 Here is a breakdown of the most popular Data roles from our graduates post-bootcamp. 👇 Download our Outcomes Report 2023 to discover the #employment rate after a student graduates, our Career Services and much more 👉 https://hubs.li/Q02kSsRk0 #tech #ai

Day 9 of #30DayLinkedInChallenge 📊 Exciting Career Transition: Embracing Data Analytics 📈 In January 2023, I had the opportunity to attend a thought-provoking seminar on AI and the future of job positions. Little did I know that this event would completely change my perspective on career choices! 🌟 During the seminar, I was introduced to new and intriguing aspects of Artificial Intelligence. However, what truly captured my attention was when the speaker shed light on the fascinating world of Data Analytics and Data Engineering. 💡 I was inspired by how these fields play a pivotal role in harnessing the power of data to drive meaningful insights, informed decision-making, and positive business outcomes. The idea of being a data storyteller, utilizing data to solve real-world problems, and helping organizations thrive in the data-driven era deeply resonated with me. Since that moment, I've embarked on a journey of self-discovery and continuous learning. I've been immersing myself in the world of data analytics, acquiring new skills, and gaining hands-on experience. 🚀 Data analytics has not only become a career option for me but a passion. I am excited to see where this path leads and how I can contribute to the ever-evolving landscape of AI and data-driven decision-making. I am immensely grateful for that seminar and the speaker who opened my eyes to this incredible field. 🙏✨ If you're also considering a career change or just curious about data analytics, I'd love to connect and share insights. Let's learn and grow together! 🤝 #DataAnalytics #CareerChange #AI #DataDrivenDecisions

The current AI trends and career opportunities in data science! 🌟 The emphasis on AI ethics and responsible AI is particularly crucial as we advance, ensuring technology benefits everyone fairly. AutoML and Edge AI are game-changers, making sophisticated AI more accessible and responsive. The potential of AI in healthcare is truly transformative, promising improved patient outcomes. Additionally, the push for explainable AI is key to fostering trust and transparency in AI systems. On the career front, understanding the distinctions between roles like Data Scientist and Data Engineer, and mastering in-demand skills, are essential for anyone looking to thrive in this dynamic field. Excited to see how these trends unfold in 2024! 🚀 What do you think will be the most significant impact of AI trends on your field or career?🤔💭

Did you know that the demand for #DATASCIENTISTS is growing by 28% by 2025? And there's absolutely NO SIGN of slowing down ❌ From driving innovation to shaping business strategies, data scientists are the backbone of the data revolution. Companies are on the hunt for skilled professionals to unlock the power of Big Data and AI. At SKILLSTURE, you can explore the skills learning pathway for you to become a data scientist with our power-packed microlearning programs available online. Watch this video to find out more. To start exploring this career, get FREE access to all livestreaming programs by creating your FREE account with SKILLSTURE: 🔗 https://skillsture.com/ #skillsture #skillsofthefuture #mastertheskillthatmatters #skills #upskilling #bigdata #datascience #datascientist #skillset #artificialintelligence #industrialrevolution #career #careeradvice #CareerGrowth #careergoals

Day 16 of 30 days of Data Storytelling 🚀 : Today we will see "The Roadblocks to Creating Data Stories". Creating a story with data is just one part. The other task is getting important info from data models or analytics systems basically, understanding what the data is telling you. Getting the right data from disparate systems: Lots of companies use different tools to get insights from data. It's good for getting detailed info, but it can also make things complicated. Combining data from all these different places into one view takes extra effort, and that can slow down the whole process. Duplication of effort when computing business metrics: When different systems don't work together, it messes up how things get done, making the team do the same work over and over. It's annoying because it's extra work without any real benefit. To keep the team happy and motivated, it's crucial to cut down on this repetitive stuff. Inconsistency of insights from siloed data sources: When companies use different systems and data styles, it's like getting mixed messages from different sources. It can be super confusing! Without one reliable source that everyone can trust, teams end up scratching their heads, unsure which info is the real deal. It's like trying to solve a puzzle with missing pieces. Special thanks to Saurabh Moody and Jayen T. for giving me access to the Super AI Platform and data set to explore, learn, and build better data stories.🙌 Thank you. #gpt #datastory #datastorytelling #citizendatascientist #superai #intern #opentohire #openai

🌟  Tired of the fierce job market struggle? 🚀 Equip yourself with Decision Optimization, the in-demand skill that sets you apart! Here's why you need it: 📈 High Demand: Data Scientists, companies crave your expertise! 🌍 Real-world Impact: Solve complex problems and make a tangible difference. 💰 Lucrative Opportunities: Unlock high-paying careers that value your skills. Ready to level up? Learn more and boost your career trajectory: https://lnkd.in/eEZQdv3V #DecisionOptimization #optimization #Data #AI #Operationsresearch  #whatifscenario #analysis #crescointernational  #success #crescointl #howto #datascience #machinelearning #analytics #optimization #learn #businessanalytics #businessanalysis #technology #analytics #business #development #ArtificialIntelligence #MachineLearning #DataScience #BusinessGrowth #business #data

I don't know about you; but every day, I am concerned that my current skills may not be relevant in the next 3 years. I keep asking the "what ifs" and figuring out if what I'm doing best now would be what I'd keep doing for the next 3 years, 5 years, 10 years or maybe 20 years? The world is changing. The technology is transforming industries. 𝗝𝗼𝗯𝘀 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗿𝗼𝗯𝗼𝘁𝘀. 𝗢𝘂𝘁𝗱𝗮𝘁𝗲𝗱 𝘀𝗸𝗶𝗹𝗹𝘀 𝗮𝗿𝗲 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗴𝗲 𝗼𝗳 𝗜𝗥 𝟰.𝟬. In the next 3 years, I am not even surprised that most of human skills can be automated with AI. But, THE BIGGEST QUESTION IS—is it a good thing or a bad thing? 📍 𝗣𝘂𝘁 𝗶𝘁 𝘁𝗵𝗶𝘀 𝘄𝗮𝘆; By 2025, nearly all employees naturally and regularly leverage data to support their work. To stay relevant in this ever-changing world, you must equip ourselves with cutting-edge IR 4.0 skills. By constantly upgrading your skills with the current market needs, what you currently do best may work in the future 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 𝗼𝗳 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘄𝗵𝗶𝗰𝗵 𝗶𝘀 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗶𝗺𝗲𝘀 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝘂𝘀! Now that I've caught your attention, follow us on SKILLSTURE to explore in-demand IR 4.0 skills that are relevant in the current era! #PEOPLElogy #bepassionateanddetermined #skillsture #careergrowth #careerdevelopment #careeradvice

The Chief Data Officer role continues to evolve in response to the dynamic nature of data and technology. CDOs must adapt to these changes by staying current with industry trends, driving innovation, and ensuring that data remains a strategic asset that adds value to the organization. The role will likely continue to transform as new technologies and data-related challenges emerge. #chiefdataofficer #chiefaiofficer #CDO #artificialintelligence #AI #chatgpt #dataanalytics #bigdata #datascience #technology #techtalent #recruitment #career #data

Get ready for a data talent boom in the next decade! 🚀 With data-driven decisions and AI tech on the rise, the demand for skilled data scientists and analysts is skyrocketing across industries. 💼 To stay ahead, businesses need to attract top-tier talent with continuous learning, collaboration, and competitive compensation. 🤝 Let's invest in education and upskilling to build a robust talent pipeline and conquer the data landscape together! 🌐 #Cyos #DataTalent #FutureOfWork #Upskilling #AI #DataScience #TalentPipeline #Education