
Explore digital transformation as a new business paradigm using IoT, AI, automation, blockchain, gamification, and data analytics; examine three types of transformations and platform-based models in the digital landscape.
Explore how the digital transformation reshapes media, education, and automotive industries by moving from linear, location-bound, single-screen models to on-demand, multi-device ecosystems.
Explore three types of transformations: core business, support function, and industry reinvention. See Schibsted shift to online classifieds, Starbucks My Starbucks Idea campaign, and future self-driving cars.
Platform-based business models connect owners, providers, producers, and consumers to create value for all participants. They outperform traditional linear models by managing information flow and interactions on the platform.
Explore the significance of digital media and how firms digitally connect with and digitally interact with customers, leveraging paid, owned, and earned media to influence engagement.
Explore how paid media and owned media connect customers, detailing search ads, display ads, keyword selection, bidding, and metrics like impressions, click-through rate, conversion rate, and cost per click.
Explore the display ad ecosystem and how advertisers, publishers, ad networks, ad exchanges, dsp s, and ssp s drive targeting and performance through metrics like CPM, CPC, and conversion rates.
maximize digitally connecting with customers through owned media by optimizing SEO with relevant content, meta tags, and quality inbound links to improve landing page relevance and authority.
Explore how earned media and social media, remote experts, and chatbots digitally interact with customers, enabling real-time marketing, personalized support across platforms, and cross-industry use cases.
Analyze the elements of internal operations, including delivery and sales operations. Perform a digital maturity assessment to identify transformation areas for a B2B and B2C training firm.
Assess digital maturity across capability and dexterity to map a firm’s journey through stalling, initiating, engaging, and self reinforcing, following Capgemini Consulting’s assessment.
Identify transformation areas—online delivery, interactive learning, sales automation with chatbots, live support, automated finances, and sourcing improvements—and map them to technologies to boost revenue, reduce costs, and enhance customer satisfaction.
Explore the business impact of AI, its types and functional areas, and the corporate adoption landscape from MIT Sloan insights, including challenges and strategies for AI-driven competitive advantage.
Artificial intelligence reshapes five business areas—sales, marketing, information technology, supply, and human resources. It highlights price optimization, upselling and cross-selling, opportunity management, with demand forecasting, procurement, logistics, and bias-reduced hiring.
Explore the business architecture of AI, detailing the AI platform’s three building blocks: machine learning, natural language processing, and machine vision, and six capabilities, including pattern recognition, prediction, and personalization.
Explore how talent xyz uses ai chatbots to digitalize individual sales, reduce costs, and improve customer experience. Enable pattern recognition, prediction, classification, and personalization to power these chatbots.
Explore the internet of things (IoT) value chain from sensors to platforms, analyze the three environments: technological, physical, socio-economic, and assess IoT's impact on enterprises.
Explore IoT use cases in automotive, smart cities, and smart metering, illustrating the shift to a connected ecosystem with 4G/5G, sensors, and cloud services.
Analyze IoT’s effects on enterprise operations, where McKinsey flags service and manufacturing impacts, and explore digital twin uses that accelerate development and predict errors in Industry 4.0.
Explore automation types and challenges, from rule-based and AI-driven automation to RPA and run book automation, and see how data analytics and data lake enable end-to-end optimization.
Explore how data analytics and data algorithms convert structured and unstructured data into actionable business insights through visualization and five algorithm types: classification, anomaly detection, regression, clustering, and reinforcement learning.
Explore an automation use case that transforms the customer PO and invoicing process from manual handoffs to bot-driven workflows, triggering checks and cross-team notifications across finance, sales, and delivery.
Data analytics at Talent XYZ uses pre-sales and learning data to boost customer satisfaction, shifting to self-paced, prerecorded learning with chatbot engagement and instructor support, raising satisfaction by 25 percent.
Explore how blockchain transforms internal operations across sales and marketing, HR, supply, and finance by enabling KYC, peer-to-peer customer engagement, data licensing, trust, and digital ledgers.
Talent XYZ uses blockchain to streamline sourcing and partnering with five suppliers via a shared central ledger, encrypting private data and making public data open to all, boosting trust.
Explore gamification concepts by applying game design principles—mechanics, dynamics, and emotions—to influence business behavior, roles of players, designers, spectators, and observers, and the four types: scholars, strivers, socialites, and slayers.
Gamification improves customer interactions, internal operations, and corporate culture by turning helpdesk tasks into game-like challenges with points, badges, leaderboards, and team-based competition.
Explore how corporate culture and digital leadership drive cultural transformation and cultivate a digital mindset that enables experimentation, collaboration, and change across the organization.
Explore digital leadership as the driver of successful transformation, featuring the paradoxical and 4D models that combine vision, empowerment, data with intuition, and dreamers, designers, doubters, and doers.
Explore how digital transformation technologies reshape customer engagement, operations, and culture, and map the media and education landscapes from linear to multi-screen, mobile experiences.
Explore the three digital transformation types—core business, support function, and industry reinvention—through Shipstead's shift to online classifieds, Starbucks' idea campaign, and platform-based business models.
Explore how platform-based business models link owners, providers, producers, and consumers to generate value, outperform traditional linear models, and enable systems like iOS, Android, Uber, and Airbnb.
Data acts as the engine, cloud enables the platform, and ai differentiates offerings for enterprises. Learn about structured and unstructured data, and the data science workflow from prompt to inference.
Explore how cloud computing enables on-demand, pay-as-you-go resources for memory, CPU, and storage, reducing data center needs through virtualization with a hypervisor.
Explore automation as a digital transformation tool, contrasting robotic process automation with AI-enabled intelligent automation, and illustrating how bots automate repetitive tasks like expense processing to save time.
Understand how IoT connects physical objects through sensors, software, and networking to exchange data. Examine how technological, physical, and socioeconomic environments shape IoT adoption and AI integration.
5G belongs to the cellular domain and delivers ultra-fast connectivity for diverse devices, with up to 10 Gbps and low latency across enhanced mobile broadband and massive IoT use cases.
Blending VR, AR, blockchain, cloud computing, AI, and 3D graphics, the metaverse powers virtual land, stores, events, and offices, enabling new business and social interactions.
Explore the differences between virtual reality, augmented reality, and mixed reality within extended reality, and see how real and virtual objects blend, interact, and reposition in immersive MR experiences.
Explore quantum computing, where qubits harness superposition and entanglement to process possibilities at once, enabling discovery of new medicines and materials, optimization, encryption, and climate simulations.
The main objective of this course is to introduce you to the latest emerging technologies such as IoT, AI, Automation, Data analytics, Blockchain and gamification and understand how these technologies impact the different business areas.
Though the digital transformation is at its early adoption, it is constantly changing the world we live in at a rapid pace. Now is the right time to understand its business implications and get ready to start or transform your business.
This course is mainly intended for beginners who have very little or no knowledge about Digital Transformation. It will give you an overview of how the digital transformation technologies are impacting your industry or business.
Section 1 covers the fundamentals of digital transformation.
Section 2 talks about the new ways of engaging and interacting with your customers
Section 3 includes how internal operations in your firm are impacted by digital transformation. It also includes the digital maturity assessment which determines the digital readiness of your firm.
Sections 4 to 7 contain the business impact of digital transformation technologies such as AI, IoT, Data Analytics, Blockchain, Automation and Gamification.
Section 8 explains the cultural transformation required as a foundation to digital transformation at your firm. It also covers the paradoxical and 4D model of digital leadership.
Remember-Digital is the future and Digital is happening now…!
Check out my book- Digital Strategy Framework: A practical guide for business incumbents