The rapid and widespread adoption of artificial intelligence (AI) and its transformative impact on business cannot be ignored. At Armorblox, we know AI. We have a long history of leveraging AI, LLM and ML to protect businesses from email-based threats. We trained and used GPT to detect malicious intent in emails before GPT was cool.
We’ve known for some time that AI will change the way we do business, but it’s been difficult to say how much. With more interest and adoption now, insights into how rapidly AI is being adopted and the role AI can expect to play in our lives, including its economic impact and changing job landscape. was recently announced. , and changes made to the development of new technologies.
Key Insights are currently available at: [McKinsey & Company’s “The Economic Potential of Generative AI: The Next Productivity Frontier” ](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#introduction) and [Sequoia Capital’s “The New Language Model Stack: How Companies Are Bringing AI Applications to Life”](https://www.sequoiacap.com/article/llm-stack-perspective/). Check out the key findings from this new study to explore the broader landscape of AI adoption and its impact on businesses across industries. From productivity transformations to industry-specific applications, we dive deep into the impact of AI based on Armorblox’s real-world experience in building custom LLMs and generative AI.
## **Economic Potential of Generative AI**
McKinsey & Company’s “[The Economic Potential of Generative AI: The Next Productivity Frontier](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier)” report emphasizes the impact of AI can impact businesses in many different areas. Generative AI refers to AI systems that can autonomously generate new content such as text, images, and music. Some of the key findings from this new study are listed below.
### **Productivity Transformation**
Generative AI has the potential to drive a significant productivity revolution,** estimated to contribute $2.6 trillion to $4.4 trillion to the global economy**. This immense value is driven by improved decision-making, enhanced creativity, and automation of complex tasks. The report estimates that generative AI could automate half of today’s work activities by 2045.
### **Industry Specific Applications**
The impact of generative AI will spread across industries such as healthcare, retail, manufacturing, software engineering, and finance. AI-powered automation and optimization enables businesses to streamline operations, reduce costs, and deliver personalized experiences to customers. In the tech sector alone, McKinsey & Company estimates the economic impact at $460 billion.
### **Job Transfer and Creation**
While AI adoption could lead to job losses in certain sectors, the report suggests that the ultimate impact could possibly be positive. As AI automates repetitive tasks, human workers can focus on higher-value activities, creating new roles and opportunities.
## **New language model stack**
Sequoia Capital report “[The New Language Model Stack: How companies are bringing AI applications to life](https://www.sequoiacap.com/article/llm-stack-perspective/)” provides insight into the speed of adoption of AI and LM in the development of new technologies and applications. Sequoia Capital interviewed 33 of his companies within the Sequoia network to gain insight into the applications being built and the technology stacks used. Here are some of the key findings.
### **Language model adoption in progress**
Almost all companies in the Sequoia network have integrated language models into their products. Examples include code autocompletion, improved chatbots, and AI-driven workflows in areas such as art, marketing, sales, legal, and accounting. A new stack of these applications revolves around language model APIs, retrieval mechanisms, and orchestration, with increasing use of open source tools. Many companies have adopted the underlying model API, but OpenAI’s GPT is the most popular choice. Most of these companies also utilize search mechanisms such as vector databases, and some have expressed interest in his LLM orchestration frameworks like his LangChain.
### **Company Customizes LM**
Companies aim to customize language models to their specific context and data. Mainly he has three ways to achieve this. Train a custom model from scratch, fine-tune a base model using your own data, or use a pre-trained model with relevant context. The latter approach often utilizes vector databases and is more accessible and cost effective. We expect the LLM API and custom model training stack to converge over time. Although the LLM API is readily available, many companies are still interested in training and fine-tuning their own models. It was also reported that the startup is working on a tool for both training custom models and consuming the LLM API.
### **LM usability continues to improve**
Sequoia Capital reports that the stack is becoming more developer-friendly, allowing a wider range of developers to work with language models. Tools like LangChain simplify the development process by addressing common challenges and facilitating integration with other systems and data sources. Language model applications are moving towards multimodal applications that combine text, speech and image/video generation. Additionally, integrating multiple generative models enables richer user experiences and more complex tasks.
## **The Transformational Impact of AI**
Despite our current progress, we are still in the early stages of the AI revolution. As AI continues to evolve, organizations that harness its potential can gain significant competitive advantages. McKinsey & Company’s report highlights the economic potential of generative AI, while Sequoia Capital’s report explores how companies are adopting AI from a development perspective and how it can be used to do so. It provides a framework for understanding the tools that are working.
As business and society move forward, it is imperative to recognize that responsible and ethical AI adoption is key. Continued investment in collaboration and skill development between humans and AI systems will ensure a successful transition to an AI-powered future.
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## Cisco to Acquire Armorblox
Did you hear the news? Cisco recently announced its intention to acquire Armorblox. Learn more about how Cisco is driving an AI-first security cloud.
*** This is Bejamas’ Security Bloggers Network syndicated blog – Armorblox RSS Feed – Title ! Created by Bejamas – Armorblox RSS Feed – Title !. Read the original post: https://www.armorblox.com/blog/the-rise-of-ai-adoption-unleashing-economic-potential-and-transforming-application-development
