Tag: data science

  • Report: The Disruptive Impact of Large Language Models (LLMs) on the Software and Coding Industry

    Report: The Disruptive Impact of Large Language Models (LLMs) on the Software and Coding Industry

    Large Language Models (LLMs) have emerged as a powerful tool in the field of software and coding, capable of generating human-like text and performing various language-related tasks.

    In this report, we explore the results of a survey we conducted to understand the perceptions and expectations of industry professionals regarding the disruptive potential of LLMs in the software and coding industry.

    We asked 15 experts on their opinions and the results were very intriguing. The profession of the respondents included: Software developer, Product manager, Entrepreneur, CEO, Data scientist, Marketing & sales, Project management, Other IT professional, Senior Consultant, Platform Services, Executive Legal and Educator.

    Impact on professional landscape

    As you can see 46.7% of respondents believe that Junior Devs will be most impacted by LLMs. This suggests that LLMs may have the potential to automate or streamline tasks traditionally assigned to entry-level developers.

    Whereas, 33.3% of respondents believe that Medium Devs will be most impacted by LLMs. This indicates that LLMs could affect the responsibilities and roles of mid-level developers, potentially requiring them to adapt to new challenges and opportunities.

    For businesses adapting to these evolving development demands, it’s equally important to work with skilled teams that can balance AI-assisted workflows with real-world expertise. Many companies Hire WordPress developers who can efficiently manage custom development, integrations, and performance optimization alongside emerging AI technologies.

    Over half of the respondents (50%+) believe that LLMs will have a negative effect on salaries in software development. Conversely, only 20% of respondents anticipate higher salaries as a result of LLMs. This suggests concerns about potential job displacement and reduced demand for certain coding tasks.

    66.7% of respondents believe that LLMs will lead to the creation of new roles in software development. This highlights the potential for LLMs to augment and complement human skills, leading to the emergence of novel job opportunities requiring expertise in working alongside LLMs.

    Nearly 90% of respondents believe that LLMs will bring positive developments for businesses. The survey indicates optimism about the potential for LLMs to enhance productivity, efficiency, and innovation within software development teams.

    73.3% of respondents expect to see fewer coders in the future as a result of LLMs. This aligns with the idea that LLMs may automate certain coding tasks, reducing the need for manual coding labor. However, it should be noted that 20% of respondents do not anticipate this outcome.

    Impact on productivity and business

    A whooping 100% of respondents believe that the synergy between LLMs and no-code development will be a positive development for startups. This indicates the potential for LLMs to empower non-technical individuals in building software applications, reducing the barriers to entry and fostering innovation.

    46.7% of respondents believe that LLMs will help small businesses compete with larger ones. This suggests that LLMs may provide small businesses with access to advanced software development capabilities, enabling them to compete on a more level playing field.

    The final question the respondents were asked was: How do you personally feel about the developments of LLMs and the impact on the world of software development?

    You can see some of the responses below.

    “It’s exciting to see where is technology is going. I don’t feel threatened by it yet, it has only aided my own learning and development.”

    “I feel positive about it as an entrepreneur. However, as someone with technical experience of 20+ years, I understand that LLMs cannot provide all the answers. Technologies like Chat GPT still need human guidance. And teams and projects still need strategy. We may be able to move faster and smarter together, and that’s a positive.”

    “Those who take advantage of the opportunities of LLM will benefit and generate higher income. Those who can only use the new possibilities by default will be replaceable.”

    Conclusion

    The survey results demonstrate a mixture of anticipation, concern, and optimism regarding the disruptive impact of Large Language Models (LLMs) on the software and coding industry. While respondents believe that LLMs may have a significant impact on junior and medium developers, leading to potential job displacement and changes in salary structures, there is also a recognition of the positive developments LLMs can bring to businesses in terms of productivity, innovation, and the creation of new roles.

    Additionally, the survey highlights the potential for LLMs to facilitate the synergy between LLMs and no-code development, benefiting startups and allowing small businesses to compete more effectively. As LLMs continue to evolve and their capabilities are integrated into various aspects of software development, it is essential for industry professionals to adapt their skills and strategies to harness the opportunities presented by LLMs while addressing the potential challenges they may bring.

    How can the Tesseract Academy help you?

    ChatGPT and other AI technologies are expected to automate many routine, repetitive, and low-skilled tasks, freeing up workers to focus on higher-level tasks that require creativity, problem-solving, and critical thinking skills. This will lead to an increased demand for workers with these higher-level skills and a decreased demand for workers who perform routine tasks.

    The Tesseract Academy can help senior professionals and businesses prepare for the AI-driven future by offering training and education in these emerging fields.

    The Tesseract Academy‘s mission is to help the leaders of tomorrow thrive in a digital world.

    1. We help senior professionals and leaders become AI and Web3.0 literate through our program. Apply now for free to reserve a spot!
    2. If you are a business owner, we can transform your business using AI within 6 weeks (otherwise we give your money back). Learn more about our AI transformation program.

    Get in touch if you have any questions.

  • New Event Announcement: The Business of AI: Data science for CEOs, managers and professionals in London!

    New Event Announcement: The Business of AI: Data science for CEOs, managers and professionals in London!

    We are excited to announce The Business of AI: Data Science Workshop, taking place in London, led by the esteemed data scientist, Dr. Stylianos Kampakis! 🤖📊

    With over 10 years of experience in the field, Dr. Kampakis will be sharing his invaluable insights on how AI can help drive success in your organization. This must-attend workshop will cover topics such as data science, machine learning, and AI strategy.

    Who is this for?

    The program targets executives, managers and entrepreneurs at a mid-to-senior level.

    This includes individuals who are responsible for managing a business unit or team at a functional level and are tasked with enhancing business performance in their division.

    Participants who would benefit from the program include:

    • C-suite executives and senior leaders who seek to expand their knowledge of technology trends and AI applications, with a goal of implementing these technologies to enhance business outcomes and reduce costs.
    • Mid- to senior-level functional managers who want to explore how AI can enhance performance within their area of expertise and engage in meaningful conversations with technology experts to establish outcome expectations.
    • Product and technology managers who desire to create and launch an AI-based product, build and train a team for AI product development, and understand the business implications of AI to propose new projects to senior management.

    Key outcomes

    • Understand AI and ML advantages/limitations in business to communicate with stakeholders.
    • Enhance professional value and connect AI to business value/results.
    • Explore global economy examples of AI connecting businesses and creating value.
    • Determine how to leverage AI/ML for business value.
    • Develop AI expertise via creating, refining, and presenting an implementation plan.

    With flexible dates available, you can secure your spot today and not miss out on this exclusive opportunity to learn from one of the best in the industry! 🎟️⏰

    Spaces are limited, so act fast and book your tickets now to avoid disappointment.

    Join us at ‘The Business of AI: Data Science Workshop‘ and take your organization to the next level with the power of AI! 🚀💼

  • The Tesseract Academy April Newsletter: Why Senior Professionals Are Increasingly Turning to AI and Data Science (Free Consultation-Limited Time Offer!)

    The Tesseract Academy April Newsletter: Why Senior Professionals Are Increasingly Turning to AI and Data Science (Free Consultation-Limited Time Offer!)

    As the world becomes more data-driven, it’s no surprise that senior professionals are increasingly turning to AI and data science to stay ahead of the curve. In this newsletter, we’ll explore some of the reasons behind this trend.

    🔍 We wanted to share with you a few key factors driving the adoption of AI and data science:

    📈 Business growth and competitive advantage: Senior professionals understand that data-driven decision-making is critical for growth and staying competitive. AI and data science offer a wealth of insights that can inform business strategy, help identify new revenue streams, and optimize operations.

    👴 Demographic shifts: The aging population means that senior professionals are retiring later and staying in the workforce longer. As a result, there’s a growing need for these individuals to stay up-to-date with new technologies and industry trends, including AI and data science.

    💻 Remote work: The pandemic has accelerated the shift to remote work, making it easier for senior professionals to access online courses and training programs in AI and data science. With virtual learning becoming more prevalent, individuals can learn at their own pace from anywhere in the world.

    👨 👩 👧 👦 Collaboration: Collaboration between data scientists, engineers, and business leaders is becoming increasingly important. Senior professionals who have a solid understanding of data science and AI can better collaborate with their teams to drive innovation and achieve better business outcomes.

    💡 Upskilling opportunities: Finally, senior professionals are turning to AI and data science because of the many upskilling opportunities available today. Whether it’s online courses, bootcamps, or mentorship programs, there are many ways for individuals to learn new skills and stay up-to-date with the latest technologies.

    Limited Time Offer: FREE Call With a Data Expert

    Are you interested in learning more about how AI and data science can help your business grow and stay competitive? We’re here to help!

    📅 Schedule a call with us today to learn more about:

    👉 How AI and data science can provide valuable insights to inform your business strategy

    👉 How these technologies can help identify new revenue streams and optimize operations

    👉 The latest industry trends and best practices for leveraging AI and data science

    👉 Upskilling opportunities and training programs to help you and your team stay up-to-date with new technologies

    To schedule a call with us, simply click the link below and choose a time that works best for you. We look forward to speaking with you soon!

    Click here to schedule a call

    Event: The Business of AI – Data Science for CEOs, Managers, and Professionals (Flexible Dates)

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    Are you interested in learning how AI and data science can transform your business?

    Then join us for our upcoming event: The Business of AI. This event is designed for CEOs, managers, and professionals who want to stay ahead of the curve and leverage the latest technologies to drive business success.

    📅 Here’s what you can expect to learn:

    👉 The role of data science in business strategy: Learn how data science can inform and drive your business strategy, and discover best practices for integrating data science into your overall approach.

    👉 The basics of AI and machine learning: Get a high-level overview of AI and machine learning, including the different types of algorithms and the tools and technologies used to implement them.

    👉 AI applications in marketing, sales, and customer service: Discover how AI is being used in marketing, sales, and customer service to deliver better customer experiences and drive revenue growth.

    👉 Best practices for building an AI team: Learn what it takes to build a successful AI team, including the roles and responsibilities of team members and the skills and expertise required.

    👉 Ethical considerations in AI implementation: Explore the ethical implications of AI implementation, including issues around bias, privacy, and transparency.

    This event is a must-attend for anyone who wants to stay ahead of the curve and learn how to leverage AI and data science to drive business success. To register, simply click the link below and sign up today.

    Click here to grab your free ticket

    Article: Create Winning Customer Experiences with Generative AI

    By Nicolaj Siggelkow and Christian Terwiesch 

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    “The launch of ChatGPT will be remembered in business history as a milestone in which artificial intelligence moved from many narrow applications to a more universal tool that can be applied in very different ways. While the technology still has many shortcomings (e.g., hallucinations, biases, and non-transparency), it’s improving rapidly and is showing great promise. It’s therefore a good time to start thinking about the competitive implications that will inevitably arise from this new technology.”

    You can read the full article via Harvard Business Review here.

    Data science, AI, Blockchain and Tokenomics

    The Tesseract Academy specializes primarily in data science/AI and related themes (blockchain, software development, etc.):

    1. Reach out to us here if you are interested in our services that help decision-makers, no matter the stage of the evolution of their business
    2. Our certificates and courses are designed for busy executives, decision makers and managers you can find them all here.
    3. We also have free frameworks are designed by experts for non-experts who want to learn how to utilise technologies like AI, data science and blockchain. 
    4. Finally, you can check out all our upcoming events that range from data science and AI for decision makers to product management and blockchain here.

    Get in touch if you have any questions.

    Testimonials About Our Work in AI, Data Science and Blockchain

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  • The Tesseract Academy March Newsletter: This is What Startups Get Wrong About AI (and why we give away a FREE consultation)

    The Tesseract Academy March Newsletter: This is What Startups Get Wrong About AI (and why we give away a FREE consultation)

    If you are a startup or scale-up founder you will probably already have recognized the importance of AI, data science and new innovations like chatGPT in order to stay ahead of the competition. But maybe your struggling in terms of where to start on your AI journey?

    Here are some benefits of startups using data science and AI:

    1. Better decision-making: Data science and AI can help startups make informed decisions based on data analysis and predictive modeling, reducing the risk of making incorrect decisions.
    2. Enhanced efficiency: By automating processes and analyzing data, startups can improve their efficiency and reduce costs, allowing them to allocate resources more effectively.
    3. Improved customer experience: Data science and AI can help startups personalize their products and services, leading to a better customer experience and increased customer satisfaction.
    4. Competitive advantage: By leveraging data science and AI, startups can gain a competitive advantage over other companies in their industry, allowing them to innovate and grow faster.
    5. New revenue streams: Data science and AI can help startups identify new business opportunities and revenue streams, such as through predictive modeling and customer behavior analysis.
    6. Improved risk management: Data science and AI can help startups identify and mitigate risks, such as fraudulent activities, cyber attacks, or market fluctuations.

    By leveraging the power of data science and AI, startups can gain a significant advantage over their competitors and achieve faster growth and success.Startup founders often underestimate the complexity of implementing data science.

    Common mistakes include:

    • Unclear problem definition
    • Overestimating data science capabilities
    • Lack of clear data strategy
    • Focusing on technology instead of business outcomes
    • Neglecting data quality
    • Failure to hire the right talent
    • Underestimating required resources

    To leverage data science effectively, startups need to avoid these mistakes and focus on informed decision-making and business growth.

    As an entrepreneur or startup CEO, your goal of earning a competitive advantage and higher valuation for your startup is possible with our unique AI for Startups’ Program.

    The Tesseract Academy’s ‘AI for Startups’ Program

    The Tesseract Academy ‘AI for Startups Program’ will turn your startup vision into reality through training workshops, consulting, and other engagement methods. At the end of this program, you will be able to:

    🎯 Create a complete data strategy plan to increase your startup valuation and maximise the business outcomes from your data.

    🎯 Develop a plan for implementing data science in your startup with a data-driven culture and the right hiring for the data science team.

    🎯 Implement data science to guide your product strategy.

    🎯 More clarity about how AI can benefit your startup.

    This program is designed and taught by 📈 Dr Stylianos Kampakis, CStat 📊. who has more than 10 years of practical experience in data science and worked with multiple million-dollar startups.

    Join the program today to boost your startup valuation❗

    Find out more here: https://tesseract.academy/ai-for-startups/

    Free Online Event: Data Science for Funded Startups: How AI can get you to the next level (14th March)

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    Join us for a fascinating session with a leading AI strategist who will shed light on how startups can leverage data science and AI to take their business to the next level. Discover innovative ways to use data and AI to make smarter decisions, gain a competitive edge, and grow your business.

    This is a must-attend event for startups looking to stay ahead of the curve in an ever-evolving technological landscape. Our speaker will dive into real-world examples and case studies to show how startups are using AI and data science to drive growth, increase efficiency, and gain a competitive advantage.

    For funded startups, AI and data science offer even greater potential to create a stronger business. Our speaker will outline the key ways in which startups can utilise AI and data to create a sustainable business model, optimize operations, and generate new revenue streams.

    This is a unique opportunity to learn from an industry expert and network with like-minded entrepreneurs. Don’t miss out on this chance to take your startup to the next level with the power of AI and data science. Register now to secure your spot!

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    Adjunct Professor of Computer Science at Capitol Technology University Leveraging advanced degrees in Physics, Mathematics, and Engineering, Zane Harvey brings a very broad skillset to the Tesseract team. In addition to doing Technology Consulting in the United States, he also teaches as an Adjunct Professor (Online and On Ground) in the Computer Science Department of Capitol Technology University, located in the Washington DC Metro area. His specialties include Data Engineering, ETL Pipelines, Data Consolidation, and Big Data Storage. His past work and clients include a portfolio of US Government Laboratories, Fortune 500 Companies, as well as small to medium sized private businesses in the USA.

    Grab your free ticket here.

    Tesseract Academy Report: ChatGPT- Attitudes and Predictions For The Future

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    ChatGPT is a powerful tool that has revolutionized the way we communicate. The rise of ChatGPT has enabled businesses to provide better customer service while saving time and money. We recently done a survey to measure the attitudes and perceptions around ChatGPT and its impact on the workplace.

    We asked 33 experts on their opinions and the results were very intriguing. The sectors the respondents work in included: Finance, Big Tech, IT, Customer Service, Legal, Medical, Insurance, Consulting, Construction and Hospitality.

    You can find the results and full report here.

    Would you be interested in a FREE Data Strategy and Quality Assessment?

    We are pleased to announce a limited-time offer for your company to receive a free data quality and strategy assessment from our team of experts! 

    At The Tesseract Academy, we understand the importance of data in driving business success and growth. That’s why we’re offering this complimentary assessment to help you evaluate the quality and strategy of your data operations.

    Our team of data professionals will conduct a thorough examination of your data systems, processes, and infrastructure to identify areas for improvement. You’ll receive a customized report that includes recommendations on how to optimize your data quality and strategy, so you can achieve your business goals more efficiently and effectively.

    This offer is available for a limited time only, so don’t miss your chance to take advantage of this valuable opportunity.

    Data science, AI, Blockchain and Tokenomics

    The Tesseract Academy specializes primarily in data science/AI and related themes (blockchain, software development, etc.):

    1. Reach out to us here if you are interested in our services that help decision-makers, no matter the stage of the evolution of their business
    2. Our certificates and courses are designed for busy executives, decision makers and managers you can find them all here.
    3. We also have free frameworks are designed by experts for non-experts who want to learn how to utilise technologies like AI, data science and blockchain. 
    4. Finally, you can check out all our upcoming events that range from data science and AI for decision makers to product management and blockchain here.

    Get in touch if you have any questions.

    Testimonials About Our Work in AI, Data Science and Blockchain

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  • The Tesseract Academy February Newsletter: What CEOs and Managers Need to know about Data Literacy?

    The Tesseract Academy February Newsletter: What CEOs and Managers Need to know about Data Literacy?

    Data Literacy is essential for CEOs and managers in the current digital age. With the increasing use of data-driven decision making, it is important for leaders to understand how to interpret data and use it to their advantage.

    Most growth-oriented organizations understand that data is the new oil and that they need to implement data science.🚀

    Data literacy helps leaders make informed decisions based on accurate analysis of data. It also allows them to better understand customer behavior, trends in the market, and potential opportunities for growth. Data literacy is not only important for CEOs and managers but also all employees who are involved in any kind of data-related tasks. By understanding the basics of data literacy, they can become more efficient at their jobs and contribute more effectively to the organization’s success.

    The Executive Data Science and AI Certificate

    Improve the data literacy of your C-Suite executives by learning the practical applications of data science by joining our ‘Executive Data Science and AI Certificate’.

    This course is designed to teach the decision-makers how to apply data science and AI with the help of👇

    💡 Capstone Project that is certified by Accredible and allows executives to solve real business problems with data science and AI.

    💡 Supportive data science community that helps you whenever you are stuck. 24/7 mentoring to help you learn faster. 

    💡 Weekly touchpoints for you and your team that will extend to 6 months. In-person sessions are also available if you live in London.

    Join our course here to boost data literacy for your C-Suite executives.

    Tesseract Report: Data Literacy and Science Challenges in Businesses

    Data literacy and data science are two of the most important skills for any business to have. However, both data literacy and data science have their own challenges that make it difficult for businesses to acquire these skills.

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    We recently conducted a survey to figure out some of the most common problems and attitudes towards data science and AI in organisations. The survey consisted of 36 participants. Their job titles ranged from CEOs and founders to tech professionals and product managers.

    You can find the full report here.

    Free Online Event: The AI and data science clinic (An open Q&A for CEOs, and entrepreneurs) 21st Feb.

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    Are you a decision maker with no technical skills interested in data science?

    Are you thinking to implement data science or AI in your organisation but you are not sure where to start?

    Have you approached solution providers, and found them too expensive, or with unclear value propositions?

    This free data science/AI clinic is then for you!

    📈 Dr Stylianos Kampakis, CStat 📊 will be leading this free workshop, which will help answer all your data-related questions.

    Who is this for?

    The event is geared towards non-technical decision makers who are looking for clarity, and actionable insights, instead of more buzzwords and jargon.

    Are you any of the following?

    • CEO
    • Founder/entrepreneur
    • Product manager
    • Manager

    Then this event is for you!

    Grab your free ticket here.

    Data science, AI, Blockchain and Tokenomics

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    The Tesseract Academy‘s mission is to help the leaders of tomorrow thrive in a digital world.

    1. We offer a free data quality and data strategy assessment for your business.
    2. Our certificates and courses are designed for busy executives, decision makers and managers and they can at a fraction of the cost of business schools. You can find them all here.

    Get in touch if you have any questions.

  • Event Recording: Lean Six Sigma For Artificial Intelligence

    Event Recording: Lean Six Sigma For Artificial Intelligence

    The Tesseract Academy were delighted to recently host an event on Lean Six Sigma For Artificial Intelligence.

    In this introductory webinar, you will learn about the legendary Lean Six Sigma system, from a leadership perspective, and investigate the crossroads with Artificial Intelligence. We will briefly explain the various yellow, green, and black belts certification levels of Lean Six Sigma.

    At the end of this webinar, you will have an understanding about the history of L6S, AI + Machine Learning, plus how various levels of managers and entrepreneurs are benefiting across various fields. You will be able to understand the synergy of these groundbreaking technologies.

    You can find the video recording of the webinar below.


    Who is the speaker?

    Captain Grant Mitchell Saxena, U.S.A., Retired, is a highly decorated Officer & U.S. Army Airborne Ranger Presidentially Commissioned and awarded a Bachelor’s of Science in Leadership & Management from The United States Military Academy at West Point – Class of 9/11. An early medical retirement resulted after being wounded as a young platoon leader in Baghdad, during the Iraq war in 2006. Years later in 2021, Grant became an Oxford University alumni earning International Politics graduate school and Lean Six Sigma Yellowbelt Leadership credentials.

    Then in 2022, Grant achieved a Post Graduate Diploma in Law from the University of Law in The United Kingdom. Currently, he is six months away from matriculating a committed publication degree through a European University for a Doctor of Philosophy in Business Administration – Information Technology Systems and is enthrallingly writing his dissertation. Grant loves to travel internationally as an advocate, artist, guest lecturer, and journalist.

  • The Tesseract Academy January Newsletter: The Executive Data Science And AI Certificate- Helping You Lead The Digital Transformation With Data Science Knowledge

    The Tesseract Academy January Newsletter: The Executive Data Science And AI Certificate- Helping You Lead The Digital Transformation With Data Science Knowledge

    Data science is an integral part of business today. It can help organizations make better decisions by providing insights into their operations and customers. And it can help companies identify opportunities to up-sell, cross-sell, and boost customer retention.

    More C-Suite executives, entrepreneurs, and top managers are learning about data science skills to gain a competitive edge in the market and lead the digital transformation. CEOs who have embraced data science have seen the following benefits: improved decision making, increased revenue, reduced costs and improved customer satisfaction.

    Three Ways CEOs Can Lead The Digital Transformation With Data Science Knowledge:

    1️⃣ CEOs need to show a strong understanding of how data works, and implementation from C-Suite leaders makes the adoption much faster.

    2️⃣ Top-level management must know how data scientists are hired and the data teams’ roles. 

    3️⃣ Entrepreneurs and CEOs need to learn how data can help them scale faster.

    If you also want to apply data and AI concepts to grow your business operations, then The Tesseract Academy’s “Executive Data Science And AI Certificate” is for you!

    The program provides an introduction to data science, statistics, and analytics through lectures, case studies, and hands-on workshops. The curriculum covers topics such as data mining, predictive modeling, data strategy, business intelligence, machine learning, data maturity, cloud computing, security and privacy concerns (e.g., GDPR), social media analytics (e.g., Twitter) and more.

    What the program offers?

    ⚡ Get 24/7 mentoring access and weekly touchpoints to help you and your team.

    ⚡ Expert data scientists like 📈 Dr Stylianos Kampakis, CStat 📊 teach real-life business applications.

    ⚡ A Capstone project that prepares you for future data science and AI implementation.

    ⚡ Get certified by Accredible on completing the Capstone project. 

    Apply data science and AI in your business. Join the course here and enrol now.

    You can also book a free call with an expert to discuss further.

    Data science, AI, Blockchain and Tokenomics

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    The Tesseract Academy specializes primarily in data science/AI and related themes (blockchain, software development, etc.):

    1. Reach out to us here if you are interested in our services that help decision-makers, no matter the stage of the evolution of their business
    2. Our certificates and courses are designed for busy executives, decision makers and managers you can find them all here.
    3. We also have free frameworks are designed by experts for non-experts who want to learn how to utilise technologies like AI, data science and blockchain. 
    4. Finally, you can check out all our upcoming events that range from data science and AI for decision makers to product management and blockchain here.

    Get in touch if you have any questions.

  • The Tesseract Academy 2022 Mega Reports: Data Science and AI, Data-Driven Product Management, Organisational Culture, Project Management and More!

    The Tesseract Academy 2022 Mega Reports: Data Science and AI, Data-Driven Product Management, Organisational Culture, Project Management and More!

    The Tesseract Academy is committed to educating decision makers on topics such as data science, AI and blockchain. This is why we decided to do several surveys and research reports over the last year to look into organizational culture as well as understand the most common problems and attitudes towards data science and AI in organisations. We also looked into data-driven product development, project management and customer churn prediction. We have summed up the results of the five reports below.

    Tesseract Report: Data-driven Product Management is the 2022 trend for product managers

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    Key Findings: “Data science is clearly part of the future of product management. This will lead product managers acquiring skills in basic data analytics and statistics, whereas data scientists will be expected to have a more in-depth understanding of product management and development. Organisations are looking into a future of cross-functional teams, with individuals picking up skills in related areas, instead of just overspecialising in a single domain.”

    Report Summary:

    The process of overseeing a product from conception through end-of-life is known as product management. Product managers are in charge of the whole lifespan of a product, which includes developing the product strategy, overseeing the product roadmap, and working with stakeholders to make sure that everything comes together as planned.

    According to the product’s survey of experts, they come to know that the use of data science in product management is significant, and experts predict that this use will increase over the next years. Data analytics reveals that, of 100 respondents, 40.7% believe that data analytics is essential to the process and data science will become increasingly significant in product management, according to 29.6%. Moreover, the fact that no participant stated that data scientists should not understand product management was an intriguing finding.

    Actually, about 60% think data scientists ought to be familiar with certain areas of product management. Out of 27 replies, 77.8% agreed that the product manager should be familiar with fundamental data analytics. The top three arguments for why data science would be useful in product management, according to the 26 replies we received, were as follows: creating new products (42.6%), experimenting with new features (50%), and improving current goods using data-driven insights (88.5%).

    Link to full report: https://tesseract.academy/data-driven-product-management-is-the-2022-trend-for-product-managers/

    Tesseract Report: Customer Churn Prediction Through Data Science and AI

    Key Findings:   “Predicting customer churn is a hugely valuable proposition for any company and it is very possible to predict customer churn. There are two core deliverables: A determination of factors that contribute to churn and secondly predictive model that predicts which customers are at higher risk of churn and when they are about to churn.”

    Report Summary:
    A significant issue in the insurance sector is customer attrition. Insurance businesses cannot overlook the significant financial repercussions of client attrition. It’s critical to comprehend what leads to client turnover. There are two sorts of churn in terms of customers leaving: active and passive. When a customer cancels their policy before it expires, this is referred to as active churn. When someone merely decides not to renew their insurance, this is known as passive churn.

    Since many classification models may provide you with a probability that can be regarded as a risk score, a classification model has the benefit of being easy to comprehend. This suggests that the risk of someone churning is inversely proportional with the hazard. For this issue, survival models are more beneficial and alluring. As the name implies, survival models are widely employed in medicine to mimic patient survival.

    Using a survival, we may explicitly define relative risk or the risk of one client in comparison to another, as well as this risk over time. The results shows two primary deliverables: A determination of the elements that influence churn; and prediction algorithm that foretells which clients are more likely to leave and the precise moment when they are about to do so.

    Link to full report: https://tesseract.academy/tesseract-report-customer-predicting-churn-through-data-science-and-ai/

    Tesseract Report: Project management for AI and data science

    Key Findings: “While the space of project management for data science and AI has evolved, there is still lots of work to be done. In order to successfully implement data science and AI projects, companies need to have the right processes in place, and the stakeholders really need to understand the scope and the deliverables of a data science project.”

    Report Summary

    Any firm must perform the crucial task of project management, which is made much more crucial when it comes to AI initiatives. This is so because AI initiatives are frequently complicated and include several participants with various objectives. The decision to consult with several project management specialists to get their advice on the best ways to handle data science and AI initiatives.

    The majority of participants said that they are not utilizing any methodology when asked whether they are using any particular methodologies created for data science and AI. Few people appear to be using CRISP-DM and the Team Data Science Process. Only 29.4% of respondents confidently say “Yes” when asked if the present project management approaches are sufficient for data science initiatives. The existing strategies seem to be lacking something. This may be because software development differs from data science and AI in several ways, making it challenging for approaches created for one field to transfer directly to another.

    The fact that 88.2% of participants said that the current project management strategies for AI and data science should be enhanced further supports. The participants provided a range of answers when asked about the largest problem in project management for AI and data science. Among the explanations given were:  Executives can’t fully understand data science since it is obscure; ensuring that deadlines are adhered to Data strategy and data quality; Results in data science experiments cannot be guaranteed; Establishing KPIs.

    Despite the fact that the field of project management for data science and AI has advanced, more work still needs to be done. Companies must have the appropriate processes in place and stakeholders must truly get the scope and deliverables of a data science project in order to effectively deploy data science and AI initiatives.

    Link to full report: https://tesseract.academy/tesseract-report-project-management-for-ai-and-data-science/

    Tesseract Report: Organisational Culture in the Post-Covid World, the 4-day Workweek, and Hybrid Work

    organisational culture

    Key Findings: “Trends like hybrid working, are here to stay. Some others, like the 4-day workweek are popular, but it’s not clear whether they can be implemented successfully. It’s clear that organisational culture plays a huge role in the success of any organisation, especially in attracting and retaining top talent.”

    Report Summary

    The computer industry and a large portion of professional life were shaken by COVID-19. Hybrid working, remote working, and the 4-day work week are just a few of the new trends that seem to have evolved. It appears that the majority of respondents think that the CEO (45.8%) or the c-suite is responsible for shaping organizational culture. 37.5% of respondents indicated that midlevel managers may guide organizational culture. Most responses to questions concerning organizational culture’s advantages for three organizations centre on three primary points: A higher rate of staff retention (80%); more satisfied workers (68%); Top talent attracting (56%). Out of 25 replies, 56% strongly disagree with retaining competition advantage, 24% agree, and 12% are impartial.

    Almost, 48% of respondents who were questioned about the role of culture in employee wellbeing agreed that it was a very significant component. Only 28% of respondents were indifferent on the topic, therefore it appears that roughly 60% of respondents think their company’s organisational culture is helping with post-COVID rehabilitation. The vast majority of participants appear to be employed in a hybrid environment. Of the 25 replies, 68% were hybrid, 16% were remote exclusively, and 16% were office only.

    Most individuals would want to work hybrid if given the option, and it appears that 80% of people think that this would also be the case in the future. At least 50% of the respondents would like to work full-time for 4 days per week, even though the bulk of them work full-time (more than 80%) for 5 days per week. Only 40% of respondents think that most businesses will provide a 4-day workweek alternative. Perhaps working just four weeks is insufficient for many businesses. Only 8% of people think that a company’s culture does not have a significant impact on its present financial situation.

    Link to full report: https://tesseract.academy/tesseract-report-organisational-culture-in-the-post-covid-world-the-4-day-workweek-and-hybrid-work/

    Tesseract Report: Data Literacy and Science Challenges in Businesses

    Key Findings: “The majority of employees believe that their organisation is not data literate enough and that in order to advance they will need to become more data literate in the future. Data ethics was also a concern and as AI becomes more and more important in our society, we will have to make sure that it is used ethically.”

    Report Summary:

    Two of the most crucial skills for any organization to possess are data literacy and data science. However, organizations find it challenging to acquire these abilities since both data literacy and data science present unique difficulties. The first issue is the discrepancy between the demand from businesses and the availability of qualified data scientists. Because there aren’t enough professionals in this industry, businesses must contend with one another for these limited resources. The absence of data literacy and data science training is the second problem. Sixty-six percent of participants (66.6%) think they understand data literacy well or completely.

    However, more than 50% of the participants said their firm or organization isn’t data literate enough when asked about it. Some of the key justifications offered for why the relationship between the product team and data science is problematic include the following: Data scientists don’t understand the product; product people don’t understand data science; corporate culture. The vast majority of interviewees expressed their dissatisfaction with the management of AI programmers’. This was principally caused by two factors.

    The first is that traditional methods like AGILE do not work well with data science. The second problem is that the company’s data scientists are hesitant to follow a methodology. On the overall growth of the firm, both of these might have a big effect. The majority of responders said that their present organizational culture was heavily data-driven. Still, 27.8% of respondents claimed that their organization’s culture is not at all data-driven.

    All participants (100%) agreed that having a data-driven organization is necessary to remain competitive and outperform competitors.

    Link to full report: https://tesseract.academy/tesseract-report-data-literacy-and-science-challenges-in-businesses/

    How The Tesseract Academy Can Help You?

    If you have any questions or suggestion, feel free to get in touch. We provide both consulting services, as well as online and in-person workshops on all the aforementioned topics, specialising in decision makers with no technical knowledge. We also offer a range of free courses, webinars and frameworks to assist anyone on their AI or blockchain journey. Whether you are a CEO, an entrepreneur or a manager, the Tesseract Academy can help you and your organisation fully understand and implement data science and AI.

  • Tesseract Report: Data Literacy and Science Challenges in Businesses

    Tesseract Report: Data Literacy and Science Challenges in Businesses

    Data literacy and data science are two of the most important skills for any business to have. However, both data literacy and data science have their own challenges that make it difficult for businesses to acquire these skills.

    The first challenge is the gap between the supply of skilled data scientists and demand from companies. There are not enough skilled people in this field, which means that companies need to compete with each other for these scarce resources. The second challenge is the lack of training in data literacy and data science skills. Most schools do not teach these subjects, which means that people need to figure out how to learn them on their own or through other channels such as internships or online courses.

    The Tesseract Academy decided to run a survey to figure out some of the most common problems and attitudes towards data science and AI in organisations. The survey consisted of 36 participants. Their job titles ranged from CEOs and founders to tech professionals and product managers.

    Data Literacy:

    Over two-thirds of participants (66.6%) believe they have a significant or high understanding when it comes to data literacy. However, when it came to their company or organisation over 50% of the participants stated that it isn’t data literate enough.

    The participants were then asked whether they think they will need to become more data-literate in the future in order to advance your career. A whooping 77.8% of participants answered yes (see graph below).

    Data science and communication with other functions:

    As you can see below, the overall majority of participant either agreed or strongly agreed that there is a problem in their organisation interfacing between data science and product.

    Some of the key reasons cited on why they think the interface between data science and the product team is an issue are:

    1. Data scientists don’t understand product
    2. Product people don’t understand data science
    3. The culture of the company

    The majority of participants agreed that they have issues with the project management of AI projects. There were two main reasons for this.  The first one is that the traditional methodologies, such as AGILE, do not apply well to data science. The second reason is that the organisations data scientists refuse to follow a methodology. Both of these can have vital implications to the overall progression of the company.

    AI ethics can be concerning for businesses because the AI will be making decisions for the company. This is a new concept, but one that needs to be addressed and thought about. The fear is that AI will make decisions without considering the ethical implications of its actions.

    The participants were asked how big of a concern they think AI ethics will be for their organisation the future. Almost all of them agreed it is either important or very important (see below).

    Organisational culture and data science

    Organisational culture has been defined as a set of shared values, behaviours, norms and beliefs that are transmitted from one person to another within an organisation. Data scientists have played a significant role in shaping organisational culture as they use data to drive decisions and analyse trends. Data is now being used to shape organizational culture as well by making it more efficient.

    The majority of participants believed that their current organisational culture is highly data-driven. However, there were still 27.8% who said their organisational culture is not data driven at all.  One hundred per-cent of the participants agreed that a data-driven organisational is at least relatively important in order to stay competitive and ahead of their rivals. 

    When asked about what the main obstacle preventing their organisation from becoming data-driven is the participants gave a variety of responses. Some of the reasons cited were:

    1. The c-suite doesn’t fully understand data science
    2. Middle management doesn’t get data science
    3. The workforce is not interested in data science
    4. We have no data science roadmap

    Conclusion:

    It is clear from the results that the majority of employees believe that their organisation is not data literate enough and that in order to advance they will need to become more data literate in the future. 

    Data ethics was also a concern and as AI becomes more and more important in our society, we will have to make sure that it is used ethically. This means that we need to be aware of the potential dangers and do everything in our power to avoid them.In order for AI to be used ethically, it needs to be transparent and accountable. It should explain the reasoning behind its decisions and make the data available for public scrutiny.

    It was also obvious from the results that everyone believed their organisation needs to have a more data-driven culture in order to stay ahead. However, the main issues preventing them from doing so was that the c-suite or middle management doesn’t fully understand data science because they don’t have the technical knowledge to fully understand how it works or how it can be applied to their business. This lack of understanding can lead to them to make uninformed decisions about their company’s data strategy, which may have negative implications in the future.

    This is why the Tesseract Academy is committed to educating decision makers on topics such as data science, AI and blockchain. If you have any questions or suggestion, feel free to get in touch. We provide both consulting services, as well as online and in-person workshops on all the aforementioned topics, specialising in decision makers with no technical knowledge. Whether you are a CEO, an entrepreneur or a manager, the Tesseract Academy can help you and your organisation fully understand and implement data science and AI.

  • The Tesseract Academy November 2022 Newsletter: Why You and Your Organisation May Need Data Science Coaching?

    The Tesseract Academy November 2022 Newsletter: Why You and Your Organisation May Need Data Science Coaching?

    Want to improve your chances of landing a data scientist job or grow your data science career? Data science coaching can help grow your career as a data scientist. It mentors data scientists to practice new skills, build their professional network, and ace job interviews.

    Data science coaching business is a growing industry. It’s an exciting time for the field of data science because there are many opportunities for new data scientists to create innovative solutions to problems in the world.

    The demand for data scientists has increased rapidly in recent years. As a result, it has become more difficult for companies to find qualified candidates who can execute their projects. This is where data science coaching comes in-to provide a solution that can bridge this gap and help companies find the talent they need to succeed.

    Let’s discover the four practical advantages of hiring a data science coach for individuals or your business👇

    ✅ Provide Career Mapping:

    Career road mapping allows data scientists to attain their career goals. Data science coaches also provide practical tips and exercises for growing your stagnant career.

    ✅ Develop Technical Skills:

    Data science coaches will help you develop the technical skills necessary for career growth. They create an actionable plan for learning new skills that increase career development chances.

    ✅ Professional Network Development:

    A coach provides opportunities for data science professionals to develop their networks. You can boost your career with a better understanding of the trends and developments in data science through networking.

    ✅ Feedback On Issues:

    Coaching will also help data scientists to get useful feedback on work-related issues. The coaches are experienced professionals who understand the problems faced during their careers.

    Free Webinar: An Introduction to Data Science Coaching

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    This webinar covers:

    • What is data science/AI for decision makers?
    • Why is it needed?
    • Example case studies
    • What is data science coaching, and how can it help improve your business?

    You can register here.

    Free event: All things Strategy! A clinic to answer your questions on Data Strategy (24th Nov)

    Are you a Product Manager, Executive or Entrepreneur? This event will help you understand how to adopt AI and develop a good data strategy!

    The event is presented by Denton Rawson is an entrepreneur and Founder of IOK Digital Ltd, which is a technology and AI consulting firm. With more than 20 years of experience in the technology industry. He has worked with some of the worlds Top Bluechip organisations in the F100 and F500 at stakeholder level: A proven track record in delivering value for organisations with technology.

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    Who is this event for?

    The event is geared towards non-technical decision makers who are looking for clarity, and actionable insights, instead of more buzzwords and jargon.

    Are you any of the following?

    • CEO
    • Founder/entrepreneur
    • Product manager
    • Manager

    Then this event is for you!

    Book your free ticket here.

    Data science, AI, Blockchain and Tokenomics

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    The Tesseract Academy specializes primarily in data science/AI and related themes (blockchain, software development, etc.):

    1. Reach out to us here if you are interested in our services that help decision-makers, no matter the stage of the evolution of their business
    2. Our certificates and courses are designed for busy executives, decision makers and managers you can find them all here.
    3. We also have free frameworks are designed by experts for non-experts who want to learn how to utilise technologies like AI, data science and blockchain. 
    4. Finally, you can check out all our upcoming events that range from data science and AI for decision makers to product management and blockchain here.

    Get in touch if you have any questions.