Generative AI is raising the bar for what businesses can achieve with automation and a trained AI model.Â
Take the recent success story of Google and Wendy’s collaboration – an AI chatbot that has automated Wendy’s drive-through service and is trained to understand the various ways in which customers can order from the menu. Customers can drive in and speak through the terminals, and the AI chatbot will take the order – it’s that simple.
Recent research by Goldman Sachs shows that the adoption of generative AI will bring huge transformations to the global economy.Â
It has the potential to boost global GDP by nearly $7 trillion. That is equivalent to a 7% increase, or the aggregate of the economies of Japan and the UK.
However, the application of generative AI in business isn’t just another buzzword. It is a transformative force that’s reshaping the consulting landscape.
What exactly is generative AI consulting, and how can it revolutionize your decision-making processes? This article aims to demystify the concept, offering a deep dive into its applications and impact on the consulting industry.
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What is Generative AI Consulting?
Generative AI models have emerged rapidly in the last two decades. In 2006, Ian Goodfellow and his colleagues proposed the first generative adversarial network (GAN). It was a neural network that could generate primitive images by learning from a large dataset of real images.Â
Now, in 2023, anyone can buy a Midjourney subscription for a few dollars and generate hyper-realistic images or chat with GPT for free and get human-accurate texts. AI is changing business by employing natural language processing technologies. But how do you capitalize on this game-changing technology? You need generative AI consulting to help you solve complex problems with minimum resources.
Consulting agencies are increasingly turning to generative AI. This fusion of human expertise and AI-driven insights would be exciting. It is essentially a three-step process:Â
- Generative AI consulting identifies opportunities to enhance products, services, and operations.
- Using the advanced capabilities of AI, consultants can sift through complex data.
- Thereafter, they design and implement tailored generative AI solutions for optimal outcomes.
The Business Value of Generative AI Consulting
While generative AI has been making headlines for its various use cases, it is important for businesses to understand how generative AI can bring value to their operations.Â
Amidst the numerous technologies that dominate the Gen AI space, how can you understand which is the right fit for you?Â
Generative AI consultants step up and help you navigate your way through all the technologies by guiding you and ensuring your objectives are met. Looking for a quick insight into the business value of generative AI consulting? We have got you covered.
Generative AI Consulting Helps with Strategic Decision-Making
Generative AI consulting is an invaluable asset in shaping strategic business decisions for your organization. By employing advanced generative AI models, consulting firms offer a unique blend of data-driven and human-centric decision-making.
Generative AI services do not simply analyze data. It simulates a multitude of business scenarios. This results in a comprehensive risk assessment. Companies can make informed choices aligned with their long-term objectives.Â
Through robust generative AI strategy implementation, businesses can anticipate and prepare for future challenges with immense thoroughness.
Business Solutions that are Efficient, Automated and Scalable
Operational excellence is a universal business goal, and generative AI consulting plays a pivotal role in achieving it. By helping automate mundane tasks and optimizing workflows, it significantly enhances operational efficiency for businesses.Â
But the benefits don’t end there. The solutions offered by generative AI consulting services are inherently scalable. As your business grows, these solutions adapt and become more powerful, with impressive advancements made in six-month windows.
Data-Driven Insights
Data is the lifeblood of modern business, and generative AI consulting companies know how to channel it effectively. They specialize in converting raw data into actionable insights through advanced analytics and modeling techniques.
By applying generative AI to data analytics, these firms can uncover intricate patterns and trends that traditional methods may miss.Â
Moreover, due to the simplicity of most generative AI tools, businesses can continue using these technologies to derive insights without being dependent on data analysts or engineers.
Ethical and Security-Focused Approach to ImplementationÂ
The power of generative AI comes with its own set of responsibilities. Leading firms like Kanerika are setting industry standards by ensuring that all generative AI projects adhere to strict ethical and security guidelines.
The benefit of working with experienced generative AI consulting companies is that businesses do not have to worry about the potential ethical or security issues that may crop up during the implementation of these technologies.Â
Generative AI consulting firms like Kanerika put a strong emphasis on the ethical development and secure implementation of generative AI models.
Read More – Best Generative AI Tools For Businesses in 2024
Case Study: Kanerika’s Generative AI Consulting Solutions
Enhancing CRM Efficiency by 21%: A Breakthrough with Advanced Generative AI for a Leading ERP Provider.
The Challenge
Our client, a leading ERP provider, faced a series of challenges affecting their business performance. The existing CRM system was not only cumbersome but also ineffective in managing and analyzing sales data. This hindered the company’s ability to make strategic decisions.Â
Moreover, the absence of a comprehensive dashboard made it difficult to identify KPIs, market trends, and areas for improvement. The result? Lower customer satisfaction and subpar adoption rates. As an AI consulting firm, we needed to redesign the system from the ground up.Â
The Solution
To tackle these challenges, we employed cutting-edge technologies like generative AI, LLM, and Azure. We leveraged generative AI to create a visually stunning and accessible CRM dashboard that made data management much more efficient.
The dashboard provided a 360-degree view of sales data, enabling precise identification of KPIs and market trends. LLM technology further enhanced the user interface, making it incredibly intuitive and user-friendly.
Read More: What is Data Visualization?
The Outcome
The results were nothing short of spectacular:
- 10% increase in customer retention
- Sales and revenue experienced a 14% uptick
- Accuracy in identifying KPIs increased by 22%
In summary, our Generative AI-powered CRM dashboard didn’t just solve the client’s problems—it set a new industry standard for efficiency, user satisfaction, and data-driven decision-making.
Implementing Generative AI: A Step-by-Step Guide
As we’ve seen from the case study in the earlier paragraph, generative AI’s ability to work with data and prompts creates strong collaboration with other technologies.Â
This enables businesses to firmly focus on strategy and the right technological implementation, with the execution carried out smoothly by generative AI models.
But how can your business harness this potential? The answer lies in a structured approach to implementing generative AI. It has to be one that aligns with your unique business needs and objectives.
Let’s break down the journey into four manageable steps that you can employ with your generative AI consultants.
Step 1: Strategy – Identify your Generative AI Use Cases
The first step in generative AI in consulting is understanding how it can be inserted without affecting or upsetting the existing processes. This involves identifying the specific Generative AI use cases where it can add value.Â
Read More: Navigating Challenges For Generative AI Use Cases
Whether it’s enhancing customer experiences or streamlining operations, the goal is to align your generative AI applications with your broader business objectives. For example, many businesses in customer care have started using GPT 3.5 to power their chatbots.
Consulting services specializing in generative AI can be invaluable at this stage, helping you pinpoint areas for improvement and potential ROI.
Step 2: Evaluation – Choose the Right AI Technologies
For generative AI in business to be successful, one has to be careful about selecting the right technologies and tools. It’s not just about jumping on the latest tech bandwagon. It is more about selecting technologies that align with your specific needs and challenges.
Generative AI models come in various forms, and consulting firms specializing in AI strategy consulting can guide you through this maze.Â
The aim is to choose a technology stack that is both robust and scalable, ensuring long-term sustainability. This evaluation will help you realize which LLM models or tech providers like AWS are best suited for your generative AI needs.
Step 3: Analysis – Leverage Data Analytics and Generative AI for Predictions & More!
Data is the cornerstone of generative AI in decision-making. But it’s not just about collecting data; it’s about making it work for you. This is where data analytics and modeling come into play.
By employing generative AI in data analytics, you can build predictive models that offer actionable insights. These models can identify trends, forecast outcomes, and recommend actions, making them an indispensable tool. IBM has already been researching this for potential medical and pharmaceutical applications such as drug discovery and predictive health analytics.
Step 4: Implementation – Integrate your Generative AI to your System
The final piece of the puzzle is integrating your chosen generative AI solutions into your existing systems. This is often easier said than done, given the complexities involved. However, with the right generative AI consulting companies by your side, this process can be seamless.
The focus here is on ensuring that the AI tools are not just implemented but also integrated in such a way that they become a natural extension of your existing operations.Â
A great example of this implementation would be tools such as Adobe and Canva. They have integrated generative AI into their creative software, allowing for seamless access to the many benefits of LLM’s.
Grow with Generative AI Consulting – Partner with KanerikaÂ
We’ve explored the huge potential of generative AI, and one thing is clear – the future is brimming with opportunities. But to navigate this complex landscape, you need a partner who understands both technology and your business needs.Â
That’s where Kanerika comes in.Â
Kanerika is a trusted consulting partner for global enterprises. We are committed to making businesses more efficient through hyper-automated processes, well-integrated systems, and intelligent operations.
So why wait? Skyrocket your growth with AI-powered innovation and take your business to the next level. Partner with Kanerika and unlock the power of generative AI for your business.
Book a free Generative AI consultation with us today!
FAQs
What does a generative AI consultant do?
Generative AI consultants help businesses harness the power of AI tools like ChatGPT and DALL-E. They bridge the gap between complex technology and business needs, designing and implementing AI solutions tailored to specific goals. Essentially, they're strategic advisors who unlock the creative and productive potential of generative AI for their clients. This includes everything from identifying use cases to ensuring ethical and responsible implementation.
What company is leading in generative AI?
There's no single "leader" in generative AI; it's a rapidly evolving field. Companies like Google, OpenAI, and Microsoft are major players, each excelling in different areas (e.g., models, infrastructure, applications). Ultimately, leadership depends on the specific application and metric used (research publications, market share, etc.). The landscape is incredibly dynamic.
How big is the gen AI consulting market?
Pinpointing the exact size of the generative AI consulting market is tricky, as it's rapidly evolving and data is still emerging. We're seeing explosive growth, however, driven by businesses needing help integrating this powerful technology. Estimates vary widely, but it's safe to say it's a multi-billion dollar market currently experiencing hyper-growth. Think of it as a rapidly expanding gold rush, with significant future potential.
Is NLP part of generative AI?
No, NLP is a *subset* of AI, focusing specifically on human language understanding and generation. Generative AI is a broader category encompassing various techniques, including – but not limited to – NLP. Think of it like this: all NLP is generative AI (if it's generating text), but not all generative AI is NLP (it could generate images or music).
What is the most famous generative AI?
There isn't one single "most famous" generative AI, as fame depends on the audience and application. However, models like DALL-E 2 (for image generation) and ChatGPT (for text) are consistently top contenders, renowned for their accessibility and impressive capabilities. Their popularity stems from bridging the gap between complex AI and everyday users.
What is the future of AI Consulting?
AI consulting's future is bright but nuanced. It will increasingly involve specialized expertise beyond basic implementation, focusing on ethical considerations, data strategy, and integrating AI seamlessly into existing business processes. The demand will be for consultants who can navigate the complex interplay of technology, business strategy, and societal impact. Ultimately, success hinges on demonstrating tangible ROI and addressing client's unique needs rather than simply offering generic AI solutions.
Is generative AI the future?
Generative AI isn't simply "the future"—it's a powerful tool rapidly reshaping our present. Its ability to create novel content across various mediums is already transforming industries. However, ethical considerations and potential biases are crucial factors determining its long-term impact, making its future trajectory complex and not fully predictable. It's more accurate to say it's a transformative force, not a singular, inevitable future.
What is the role of AI Consultant?
AI consultants bridge the gap between businesses and artificial intelligence. They analyze a company's needs, identify how AI can solve problems or create opportunities, and then design, implement, and manage AI solutions. Essentially, they're AI strategists and project managers, ensuring successful AI adoption. They also provide ongoing support and training.
What is the difference between generative AI and AI?
Generative AI is a *subset* of artificial intelligence. While all generative AI is AI, not all AI is generative. The key difference is that generative AI *creates* new content (text, images, code, etc.), whereas AI, broadly, encompasses any system that mimics human intelligence, including tasks like analysis, prediction, or decision-making, without necessarily generating novel outputs. Think of it as "AI that makes things" vs. "AI that does things."
What is the main goal of generative AI?
Generative AI's core aim is to create new content – text, images, music, code – that's similar to what it's been trained on, but not a direct copy. It essentially learns patterns and then uses that knowledge to produce something original. This contrasts with traditional AI that focuses primarily on analysis or prediction. Ultimately, it aims to augment human creativity and efficiency.
How is AI used in consulting?
AI boosts consulting efficiency and effectiveness in several ways. It analyzes massive datasets to identify trends and insights humans might miss, leading to sharper, data-driven recommendations. AI also automates routine tasks like data cleaning and report generation, freeing consultants to focus on strategic thinking and client interaction. Ultimately, this blend of human expertise and AI power delivers faster, more accurate, and more valuable solutions for clients.
Why is generative AI so popular?
Generative AI's popularity stems from its ability to create novel content, automating tasks previously requiring human creativity. This unlocks exciting possibilities across various fields, from art and marketing to software development and scientific research. Essentially, it offers unprecedented efficiency and opens doors to entirely new forms of expression and innovation. The ease of access to powerful models further fuels its widespread adoption.
