This article provides a comprehensive view of strategic outlook of Generative AI, enterprise roll out strategy based on return on investments(ROI).
Generative AI promises more than just matching human creativity — it aims to elevate it. Every sector rooted in human innovation — from multimedia and advertising to programming and design — stands on the cusp of a radical shift. The real allure of Generative AI lies in its potential to unlock unparalleled labor productivity, spark creativity and to catalyze vast economic growth.
And not only is this transformation massive & happening at exponential pace as we speak, but the continuum of human-computer interaction has evolved from GUI to mobile to chat to now language.
As AI matures, professionals spanning creative and knowledge-intensive fields are poised to reap substantial benefits. The resulting efficiencies could catalyze trillions in economic value.
But what’s driving this generative AI renaissance? Let’s explore a little bit:
The Four Eras of AI’s Evolution
Era I: The Era of Compact Models (Before 2015): Compact models were the pinnacle of AI, proficient in tasks such as fraud detection but lacking in expansive creative faculties.
Era II: The Upscaling Era (2015 to Present): A pivotal paper by Google heralded the transformative era with transformers, giving birth to powerhouse models like OpenAI’s GPT-3. However, widespread accessibility remained elusive.
Era III: Refinement & Accessibility (2022 Onwards): With plummeting computational costs and enhanced models, AI’s horizon expanded exponentially.
Era IV: The Dawn of Revolutionary Applications: As AI’s foundational tools stabilize and mature, we’re primed for a renaissance of creative AI applications.
The AI Marketplace
The schematic below elucidates the foundational platforms and the diverse applications set to emerge atop these platforms:
Revolutionary Applications on the Horizon
A slew of pioneering applications beckon:
- Digital Copywriting: Tailored content solutions for sales, marketing, and support. Ex: ChatGPT,Claude,llama 2
- Niche Writing Tools: Specialized applications for sectors like legal or film scripting.Ex:Jasper, Write-sonic
- Automated Code Production: Amplifying developer productivity and democratizing access to coding.Ex: Github Co-pilot, Replit
- Artistic Creation: Crafting a myriad of art styles and themes.Ex: Mid journey, DALLE 2, Adobe Firefly
- Interactive Gaming: AI-driven immersive gaming experiences.
- Media & Promotion: Personalized media strategies harnessing AI’s capabilities.
- Design Innovations: AI-infused prototypes across digital and physical realms.
- Social Media Transformations: Innovative generative tools reshaping online communities.
AI Go To market strategy :
Question 1: In-App or standalone product?
Present-day Generative AI tools seamlessly integrate into existing digital environments. Code completions find their place within IDEs, while AI-generated imagery nestles within design tools like Figma or Photoshop. Platforms like Discord are leveraging bots to incorporate Generative AI into digital communities.
However, a budding trend is the rise of dedicated Generative AI platforms like Jasper for copywriting or Runway for video manipulation. These stand-alone solutions might initially serve as enhancements to existing tools, eventually evolving to dominate niche sectors based on their refined AI-driven offerings.
Question 2: Transaction output or Agents?
Currently, most Generative AI interactions are transactional – input in, output out. But a shift is on the horizon. These systems are progressing towards more iterative interactions, offering users the flexibility to refine, enhance, and diversify the AI-generated content.
While today’s outputs often serve as initial drafts or prototypes, the trajectory is clear. As these models evolve, especially with user data feedback, the quality of these “drafts” will approach, and potentially surpass, human-generated final products.
Leadership in the Generative AI Domain
“Dominant enterprise players in the Generative AI arena will be those who can fuel the synergy between :user engagement ,model enhancement, Leveraging superior model capabilities while still keeping investment costs & ROI in check.
And the most impactful solutions will be those that deeply embed solving specific use cases from coding to design, initially complementing existing tools and eventually redefining workflows with AI-first methodologies.”
-by Rohan Sharma https://www.linkedin.com/in/rohansharma9/
Navigating Challenges
The road to Generative AI supremacy is not without its hurdles. Debates around copyright, ensuring user trust, and managing operational costs remain unresolved. If you are looking to get a little more perspective on it, I recommend reading ,Minds of Machines by Rohan Sharma. It;s a shameless self promotion but it;s a product of more than 200 hours of research on AI governance, strategy, operating models, partnerships, privacy, security, compliance & most importantly regulation.
Link attached: https://www.amazon.com/Minds-Machines-strategic-Generative-Excellence/dp/B0C6W46V2C