🔍 Industry Insights: Discover the technical challenges, benefits, and opportunities of implementing Gen AI across various sectors (based on our survey)
🎙️ Expert Interviews: Gain valuable perspectives from over 10 industry experts sharing their firsthand experiences in integrating Gen AI into business processes.
📊 Real-Life Use Cases: Explore 10+ case studies showcasing the transformative power of Gen AI in action.
Download the report now and unlock essential insights for enhancing your company’s processes with Gen AI!
Simply put, it translates into the ability of a computer or computer-controlled robot to perform tasks that are usually associated with intelligent creatures, usually humans. As a result, it exhibits the ability to reason, find meaning, generalize, or learn from experience..
Simply put, it translates into the ability of a computer or computer-controlled robot to perform tasks that are usually associated with intelligent creatures, usually humans. As a result, it exhibits the ability to reason, find meaning, generalize, or learn from experience..
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
This document provides an overview of artificial intelligence and how startups in Southeast Asia are applying AI. It discusses how startups are collecting local training data to build AI solutions that understand Southeast Asian contexts. It also explores how startups are developing natural language processing for local languages and building chatbots on popular regional messaging platforms. Additionally, it examines how other startups are using AI and automation to digitize field operations and business processes.
Artificial intelligence (AI) is a source of both huge excitement
and apprehension. What are the real opportunities and threats
for your business? Drawing on a detailed analysis of the business
impact of AI, we identify the most valuable commercial opening in
your market and how to take advantage of them.
How artificial intelligence use to manufacturing companieskoteshwarreddy7
Artificial intelligence (AI) is transforming the manufacturing industry in pretty dramatic ways, from driving efficiencies, increasing defect detection rates, and reducing scrap waste to improving sales forecasts and even giving company leaders the information they need to renew business models.
Top AI Trends and predictions to consider in 2024.pdfBluebash
Artificial intelligence (AI) leads the way in today's rapidly evolving tech landscape. As a global tech hub, the United States hosts cutting-edge AI companies at the forefront of innovation.
Artificial Intelligence (AI) is a transformative technological paradigm that empowers machines to
simulate human-like cognitive functions. At its core, AI aims to equip machines with the ability to
learn, reason, and make decisions independently, mirroring human intelligence.
AI & Analytics Predictions of 2022. InfographicInData Labs
What does 2022 hold for artificial intelligence? Will the AI revolution continue to gain momentum?
This report will provide a look into the future of AI technologies, including:
- Strategic AI predictions and trends for 2022 and beyond
- The current and projected state of the AI market and its value
- Business functions that already benefit from AI implementation
- Industries where AI is making the greatest disruption
- The business value generated by Artificial Intelligence
- Costs of AI implementation and main challenges
"AI in product development revolutionizes the innovation landscape by optimizing design, streamlining project management, and enhancing quality assurance. From predictive insights to automated testing, AI transforms the product lifecycle, ensuring efficient processes, informed decision-making, and personalized user experiences. Despite challenges like data privacy concerns, embracing AI is essential for businesses seeking to stay competitive in the dynamic world of product development."
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
In 2022, we expect AI innovations will bring promising developments and impressive breakthroughs that will be hailed as future technologies. Here are the top AI trends and predictions to watch out for.
IRJET- The Colossal Impact of Artificial Intelligence in E-Commerce : Statist...IRJET Journal
This document discusses the colossal impact of artificial intelligence in e-commerce through statistics and facts. It finds that retail e-commerce sales have been greatly influenced by AI and machine learning, with sales predicted to rise dramatically by 2021 according to surveys. Major applications of AI in e-commerce include visual and voice search, AI assistants and chatbots, smart logistics, and recommendation engines. Case studies show how companies like Amazon, JD.com, and Alibaba have significantly benefited from implementing AI technologies in areas like targeted advertising, warehouse operations, and customer service.
The document discusses the potential economic impact and value of artificial intelligence (AI) technologies. Some key points:
- Global GDP could be 14% higher by 2030 due to AI, equivalent to an additional $15.7 trillion in economic value. China and North America are expected to see the largest boosts of up to 26% and 14% respectively.
- The majority of GDP gains will come from increased productivity and consumption enabled by AI. Productivity gains will be driven by automation of processes and augmentation of human workers. Consumption gains will come from personalized and higher quality AI-enhanced products and services.
- Retail, financial services, and healthcare are identified as sectors that could see the biggest gains from AI
This PPT is about AI 100 Startups all over the world based on "The AI 100 -CB insights".
In this research paper, you can find each capital, scale, general info(ref: CB Insights), and features.
The Evolution of AI from Research to ROI in 2024.pdfCiente
Discover the transformative journey of artificial intelligence from theoretical research to strategic asset, unlocking substantial returns for organizations in 2024.
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
AI in Media & Entertainment: Starting the Journey to ValueCognizant
Up to now, the global media & entertainment industry (M&E) has been lagging most other sectors in its adoption of artificial intelligence (AI). But our research shows that M&E companies are set to close the gap over the coming three years, as they ramp up their investments in AI and reap rising returns. The first steps? Getting a firm grip on data – the foundation of any successful AI strategy – and balancing technology spend with investments in AI skills.
AI for Enterprises-The Value Paradigm By Venkat Subramanian VP Marketing at B...Analytics India Magazine
AI is here, call it buzz, cause it a bubble, we are smack in the middle of an AI revolution. While there is a strong view building about consumer AI applications, there still seems to be some scepticism about AI for enterprises, primarily due to the lack of clarity and focus on how AI can actually deliver value for enterprises. At BRIDGEi2i, we believe it is important to have a non-fragmented view of the AI ecosystem and a “Value Roadmap” for AI in the enterprise context. As CxOs, it is important to understand where the enterprise is in the transformation journey and define value accordingly. This talk will throw light on how to look at the enterprise AI ecosystem and build the right roadmap for value.
5 ways to enhance your business using ai venkat k - mediumusmsystem
“Artificial intelligence (AI)” is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
6 Ways To Use Artificial Intelligence In Your Businessvenkatvajradhar1
Artificial Intelligence (AI) has long been seen as a vicious entity, dead to exterminate humanity, or at least, to keep its members out of commission. However, artificial intelligence is far from it, which brings us to the question: What is AI?
Similar to Gen AI in Business - Global Trends Report 2024.pdf (20)
If you are considering using either language model, but aren’t quite sure which one’s the best fit for your intended purpose, read on for a ChatGPT vs. GPT-3 head-to-head comparison where we evaluate every aspect of the language models, right from their emergence, how they work, and their suitability in different applications.
AI software development and Product BuildingAddepto
• What is Artificial Intelligence?
• AI-driven solutions that can be applied to manage different areas of business processes
• Benefits of AI in
software development
5 tips for how to use design thinking in your daily life? Addepto
If design thinking can transform companies like Netflix, Airbnb and inspire innovation, then surely it can help to become a better problem solver in everyday life.
How Computer Vision is reshaping the finance and insurance industryAddepto
Learn about the competitive advantages that Computer Vision provides financial and insurance companies in smoothing customer experience and increasing general performance.
Table of contents:
1. What is Computer Vision?
2. How Computer Vision differs from Image Processing?
3. What are the benefits of Computer Vision technology?
4. How does it improve FinTech and Insuretech operations?
5. Real-life implementation of Computer Vision in the financial industry
6. Addepto Case Studies
The document provides 5 productivity tips: 1) Set daily goals, 2) Complete difficult tasks first, 3) Take breaks during the workday, 4) Review how effective the previous week was every Friday, 5) Focus on quality of work over quantity of work. It encourages sharing additional thoughts in the comments.
Top 10 Machine Learning Solutions For Retail & E-commerce - INFOGRAPHICAddepto
Does your company operate in the retail or e-commerce market? You are looking for effective solutions to develop your business? Here is a list of 10 machine learning solutions that will improve various processes at your company, as well as guarantee a high return of investment (ROI)!
Computer Vision Applications - White Paper Addepto
Computer vision (CV) is an artificial intelligence-based technology that allows computers to observe the world. Find out in our white paper what tools are used to create computer vision solutions. The number of computer vision applications grow every year. Check out real-life examples in retail and marketing industry.
How to use LTV predictions in Marketing Campaigns?Addepto
In today’s customer-focused market, it is very important to know the customer lifetime value (LTV). LTV helps companies focus their business around the most “profitable” customers and predict customer lifetime value through the use of machine learning.
Read more more about LTV in marketing campaigns in this white paper. Learn how identify your most productive media channel using predicted LTV. Discover best practices approach to use LTV in marketing campaigns.
kk vathada _digital transformation frameworks_2024.pdfKIRAN KV
I'm excited to share my latest presentation on digital transformation frameworks from industry leaders like PwC, Cognizant, Gartner, McKinsey, Capgemini, MIT, and DXO. These frameworks are crucial for driving innovation and success in today's digital age. Whether you're a consultant, director, or head of digital transformation, these insights are tailored to help you lead your organization to new heights.
🔍 Featured Frameworks:
PwC's Framework: Grounded in Industry 4.0 with a focus on data and analytics, and digitizing product and service offerings.
Cognizant's Framework: Enhancing customer experience, incorporating new pricing models, and leveraging customer insights.
Gartner's Framework: Emphasizing shared understanding, leadership, and support teams for digital excellence.
McKinsey's 4D Framework: Discover, Design, Deliver, and De-risk to navigate digital change effectively.
Capgemini's Framework: Focus on customer experience, operational excellence, and business model innovation.
MIT’s Framework: Customer experience, operational processes, business models, digital capabilities, and leadership culture.
DXO's Framework: Business model innovation, digital customer experience, and digital organization & process transformation.
Communications Mining Series - Zero to Hero - Session 3DianaGray10
This is a continuation to previous session focused on Model usage and adapting for Analytics and Automation usecases. We will understand how to use the Model for automation usecase with a demo.
• Model Usage and Maintenance
• Analytics Vs Automation Usecases
• Demo of Model usage
• Q/A
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
leewayhertz.com-AI agents for healthcare Applications benefits and implementa...alexjohnson7307
In recent years, the integration of artificial intelligence (AI) in various sectors has revolutionized traditional practices, and healthcare is no exception. AI agents for healthcare have emerged as powerful tools, enhancing the efficiency, accuracy, and accessibility of medical services. This article explores the multifaceted role of AI agents in healthcare, shedding light on their applications, benefits, and the future they herald.
The Impact of the Internet of Things (IoT) on Smart Homes and CitiesArpan Buwa
The Internet of Things (IoT) has revolutionized both smart homes and cities by interconnecting devices and systems, enabling automation, efficiency, and enhanced quality of life. In smart homes, IoT devices like smart thermostats, lights, and appliances offer remote control and energy management, while sensors provide security and monitoring. In smart cities, IoT facilitates traffic management, waste management, and environmental monitoring, optimizing resource usage and urban planning. Overall, IoT transforms traditional living spaces and urban landscapes into interconnected, efficient, and sustainable environments.
Uncharted Together- Navigating AI's New Frontiers in LibrariesBrian Pichman
Journey into the heart of innovation where the collaborative spirit between information professionals, technologists, and researchers illuminates the path forward through AI's uncharted territories. This opening keynote celebrates the unique potential of special libraries to spearhead AI-driven transformations. Join Brian Pichman as we saddle up to ride into the history of Artificial Intelligence, how its evolved over the years, and how its transforming today's frontiers. We will explore a variety of tools and strategies that leverage AI including some new ideas that may enhance cataloging, unlock personalized user experiences, or pioneer new ways to access specialized research. As with any frontier exploration, we will confront shared ethical challenges and explore how joint efforts can not only navigate but also shape AI's impact on equitable access and information integrity in special libraries. For the remainder of the conference, we will equip you with a "digital compass" where you can submit ideas and thoughts of what you've learned in sessions for a final reveal in the closing keynote.
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesSAI KAILASH R
Explore the advantages and disadvantages of blockchain technology in this comprehensive SlideShare presentation. Blockchain, the backbone of cryptocurrencies like Bitcoin, is revolutionizing various industries by offering enhanced security, transparency, and efficiency. However, it also comes with challenges such as scalability issues and energy consumption. This presentation provides an in-depth analysis of the key benefits and drawbacks of blockchain, helping you understand its potential impact on the future of technology and business.
Improving Learning Content Efficiency with Reusable Learning ContentEnterprise Knowledge
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas conference on June 13th, 2024.
This presentation explored the basics of reusable learning content, including the types of reuse and the key benefits of reuse such as improved content maintenance efficiency, reduced organizational risk, and scalable differentiated instruction & personalization. After this primer on reuse, Crockett laid out the basic steps to start building reusable learning content alongside a real-life example and the technology stack needed to support dynamic content. Key objectives included:
- Be able to explain the difference between reusable learning content and duplicate content
- Explore how a well-designed learning content model can reduce duplicate content and improve your team’s efficiency
- Identify key tasks and steps in creating a learning content model
Step-By-Step Process to Develop a Mobile App From Scratchsoftsuave
Learn the step-by-step process to develop a mobile app from scratch with our detailed guide. Discover essential steps, tools, and tips on how to build an app from scratch. Read more blogs at Soft Suave.
more: https://www.softsuave.com/blog/develop-a-mobile-app-from-scratch/
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
Retrieval Augmented Generation Evaluation with RagasZilliz
Retrieval Augmented Generation (RAG) enhances chatbots by incorporating custom data in the prompt. Using large language models (LLMs) as judge has gained prominence in modern RAG systems. This talk will demo Ragas, an open-source automation tool for RAG evaluations. Christy will talk about and demo evaluating a RAG pipeline using Milvus and RAG metrics like context F1-score and answer correctness.
Using LLM Agents with Llama 3, LangGraph and MilvusZilliz
RAG systems are talked about in detail, but usually stick to the basics. In this talk, Stephen will show you how to build an Agentic RAG System using Langchain and Milvus.
Vulnerability Management: A Comprehensive OverviewSteven Carlson
This talk will break down a modern approach to vulnerability management. The main focus is to find the root cause of software risk that may expose your organization to reputation damage. The presentation will be broken down into 3 main area, potential risk, occurrence, and exploitable risk. Each segment will help professionals understand why vulnerability management programs are so important.
2. Contents
Key Takeaways
Click the links below to navigate directly to each section
Unveiling Industry Insights - A Comprehensive Survey Analysis
The Promise of Generative AI in Business
Exploring Vector Databases and API Models in Generative AI
Beyond Chatbots: Exploring Generative AI's Diverse Roles in Business
Innovation
Implementing Gen AI in Business Practice: Strategy is a key
The real potential of LLMs. We are in the beginning of the journey
Gen AI revolutionizes financial services
3
6
17
22
26
30
33
46
Uncovering AI-Driven Opportunities: Exploring Specific Use Cases 51
Beyond the Buzz: LLMs Potential and Pitfalls 42
Conclusion 56
3. PART 1: Unveiling Industry Insights - A Comprehensive Survey Analysis
The impact of Generative AI (Gen AI) is felt across various industries, with tech
companies leading the charge in integrating AI into their products and services.
Overview
AI in Business - Global Trends Report 2024
Back to Contents
At this stage, every sector has been impacted by the hype surrounding Gen AI.
However, this surge of interest has particularly affected tech companies, which
are under constant pressure to improve their products. Soon, failing to incorporate
AI into their offerings will make it impossible for companies to keep up with the
standards set by industry leaders.
Google, one of the leading tech companies in AI research and development,
has integrated AI into various products and services, including Google
Assistant, Google Translate, and Google Photos.
Amazon utilizes AI to enhance customer experience through personalized
product recommendations and voice-activated shopping with Alexa. The
company has also developed AI-powered logistics and delivery systems.
IBM, a decades-long leader in AI research and development, employs its
Watson AI platform across multiple industries such as healthcare, finance,
and retail.
Microsoft focuses on natural language processing and computer vision in
its AI research and development efforts. The company has integrated AI
into several products and services, including Cortana and Microsoft Azure.
Facebook uses AI to refine user experience with features like personalized
news feeds and facial recognition technology. The company is also heavily
invested in AI research and development, exemplified by its AI Research
division.
Gen AI adoption across industries:
Tech sector takes the lead
8
4. PART 1: Unveiling Industry Insights - A Comprehensive Survey Analysis
AI in Business - Global Trends Report 2024
Back to Contents
Generative AI usage
Although the technology itself has only recently entered the
mainstream, many companies have already adopted it in
some form.
However, many of these implementations are limited to
integrating GPT-based tools into a fraction of their internal
processes. This process, known for being straightforward, cost-
effective, and relatively seamless, represents just the beginning
of the generative AI journey.
Many companies have just started to explore the possibilities
that Large Language Models offer within their organizations.
Is your organization currently using Generative AI
(Gen AI) technologies in its business practices?
42%
Yes
26%
No
16%
Unsure
10
5. It's just a sneak peek of the comprehensive
report. 😉
If you find it valuable, download the full
version now!