INTRODUCTION:

Machine learning, or ML, is widely used in business systems that gather massive amounts of data. For example, ai innovations management systems collect data from sensors affixed to various assets. The decision-makers at your organization receive the massive amounts of data after machine learning (ML) contextualizes it, helping them better comprehend energy use and maintenance requirements.

AI is a useful tool for business, especially in the following domains:

• ML
• Online safety
• Relationship management with customers (CRM)
• Internet and data analysis

Digital personal assistants

SOME AI STATISTICS:

• 35% of companies are using AI.
• AI is present in 77% of gadgets that are in use

• By 2030, artificial intelligence will boost the world economy by $15.7 trillion.
• 85.1% of AI users create material using the technology.
• 50% of customers have optimism regarding AI.

                            The global market for AI is valued at $120 billion.

By using artificial intelligence to boost certain industries and transform society, innovative AI businesses are bringing about revolutionary change. Some of the initiatives by AI companies include;

GENERATIVE AI BY GOOGLE:

Google has launched free courses in Generative Artificial Intelligence or Generative AI to promote careers in the cloud. A new kind of machine learning is called generative AI. The majority of AI applications that humans can engage with, such as Chabot’s and music suggestions that are based on machine learning. “Generative AI” is able to map long-term trends in massive training sets and then use what it has learned to create new content, such as text, images, audio, and synthetic data.

Through Generative AI, the systems learns patterns from its training data and then generate new data with similar characteristics such as AI can produce text, images, videos, or other forms of content

Google has provided ease to the consumers by initiating online non-cost free courses. In this way users can learn the basic AI techniques to perform their tasks. Such Online Courses are given as follows;

LARGE LANGUAGE MODELS

This course will explain the LLM’s functions and how they work.

IMAGE GENERATION This session provides an overview of diffusion models, their theoretical underpinnings, and instructions for training and using them with Vertex AI.

BERT MODELS & TRANSFORMERS

These are the two main AI structures. It will assist people in comprehending Bert’s assignments, which include classifying texts, responding to inquiries, and drawing conclusions from natural language.

GENERATIVE AI STUDIO

This course aids in comprehending the functions and definition of Generative AI Studio. Examining AI Studio will teach you how to include AI into your applications.

IMAGE RECOGINITION

It aids in comprehending the encoder and decoder, two parts of image captioning models. You’ll discover how to build your own models for image captioning and apply them to produce captions for pictures.

• Gen AI is capable of scanning, reading, summarizing, translating, analyzing, and debugging even much unstructured data that is concealed in strategy papers, customer logs, presentations, and a myriad of other documents that characterize your company.
• Gen AI has the potential to address a major obstacle faced by numerous businesses, which is the need to process and generate insights from vast quantities of intricate, unstructured data.

A single GEN AI model can be used for numerous business activities and industries. By the end of 2024, artificial intelligence (AI) will allow you to perform your job in new, more effective ways, regardless of your position (CEO, software developer, tax leader, or product designer).

ACE’S AI MAGIC BY NVIDIA:

• NVIDIA founder and CEO Jensen Huang unveiled “James,” an interactive digital human created on NVIDIA NIM micro services, during a SIGGRAPH fireside discussion. James illustrates the possibilities of AI-driven customer engagements.

James is a virtual assistant with NVIDIA ACE technology that is built around a customer-service process and is able to interact with customers through comedy, emotions, and contextually appropriate responses. James will soon be available for real-time communication with users at innovateaiuniverse.com

Along with introducing corporations to NVIDIA ACE, a package of technologies for generative AI-powered digital human life-likeness, NVIDIA also showcased the most recent developments in the NVIDIA Maxine AI platform for telepresence. With AI models for voice and translation, vision, intelligence, realistic movement and behavior, and lifelike appearance, these technologies pave the way for the emergence of digital humans.

ACE is establishing new standards for creating virtual environments and igniting creativity in a variety of sectors. By utilizing RTX GPUs and ACE, developers may create more sophisticated, AI-driven interactive digital media experiences and more immersive applications.

SAMSUNG AI SMARTSPHONES:

Samsung is placing a significant wager that artificial intelligence (AI) will transform the smartphone market. With the S Pen, Samsung’s Galaxy S24 Ultra and Z Fold 6 have already demonstrated AI’s promise by turning basic sketches into intricate images. Still, the company has much higher goals than just Photoshop.

AI will be incorporated into the production of text, video, audio, and 3D material.

• Samsung is also investigating the potential of add-ons, like its upcoming language-translation headphones.

• With dual-screen features like translator mode,

Samsung’s folding phones especially the Z Fold 6 are ideally positioned to gain from artificial intelligence.

AMAZON UPGRADES ‘JUST WALK OUT’ TECHNOLOGY WITH AI FOR EASY SHOPPING:

Amazon has confirmed that it would open more Just Walk Out locations in 2024 “than any year prior, more than doubling the number of third-party stores with the technology this year,” as part of its expansion of the service.

• Amazon is upgrading the AI-powered  technology behind its Just Walk Out system  that allows shoppers to pick up items and walk out without going through a checkout

. Amazon announced that it is adding a new multimodal foundation model to the underlying AI technologies powering its Just Walk Out checkout system for retailers.

The multimodal model improves the accuracy of Just Walk Out by incorporating additional variables including lighting conditions and shopper behaviors. The new Just Walk Out AI now analyzes data from sensors and cameras simultaneously, instead of sequentially, combining multiple inputs to enable higher levels of accuracy.

TACO BELL EXPANDS DRIVE-THRU AI VOICE ORDERING ACROSS THE U.S:

• Taco Bell is rolling out

voice ordering and

AI-powered ordering

systems at drive-thru

around the nation                           

• More than 100 Taco Bell locations nationwide

currently use Voice AI technology, and parent company

 Yum! Brands revealed this week that that figure is expected to rise.

Yum! Brands’ chief innovation officer, Lawrence Kim, stated, “We’re expanding and accelerating our AI capabilities to deliver cutting-edge technologies to our franchisees and to enhance the consumer and team member experience.”

UTILIZING LUMEN, MICROSOFT INCREASES AI INFRASTRUCTURE CAPABILITY:

• In order to support its expanding AI development, Microsoft has teamed with Lumen Technologies to increase its infrastructure capacity.

• Microsoft plans to improve its network capabilities by utilizing Lumen’s Private Connectivity Fabric (PCF) in order to meet the growing demand for data centers brought about by AI products like Azure OpenAI Service.

Microsoft’s AI services are becoming more and more in demand. More than 53,000 customers are served by Azure AI, as per company’s Q2 2024 statistics, with more than one-third having only recently switched to Azure.

AI RESEARCH AND FINDINGS

CUSTOMIZED CHATBOTS:

Tech businesses that have made significant investments in generative AI will be under pressure in 2024 to demonstrate that their products can generate revenue. AI giants Google and OpenAI are staking a lot on going small in order to achieve this: they are creating approachable platforms that let users create custom language models and create micro chatbots that are tailored to their own requirements without the need for coding knowledge. Both have released web-based resources that let anybody create generative AI applications.

By 2024, more people will be tinkering with a million little AI models, and generative AI might actually be useful to the typical non-techie. Modern artificial intelligence models are multimodal, which means they can understand images and videos in addition to text such as GPT-4 and Gemini. With these new features, a ton of new apps might become available. For instance, real estate agents can upload photographs and videos of new listings, train an efficient model to generate similar language with a single click, contribute text from previous listings, and request that the customized AI write a description of the property.

ELECTION MISINFORMATION PRODUCED BY AI WILL PROLIFERATE:

Deep fakes and AI-generated election misinformation will be a major issue in 2024 when a record number of people cast ballots, keeping in mind the previous elections. For instance;

• Two aspiring Argentine presidents attacked their rivals with artificial intelligence-generated photos and videos.
• During Slovakia’s elections, deep fakes of a liberal pro-European party leader making jokes about child pornography and threatening to raise beer prices went viral.
• Moreover, Donald Trump has supported a group that creates memes with racist and sexist motifs using AI in the US.

While producing a deep fake would have needed sophisticated technical knowledge just a few years ago, generative AI has made the process incredibly simple and accessible, and the results are becoming more and more lifelike. AI-generated content has the potential to deceive even trustworthy sources.

For those battling the spread of such content, the upcoming year will be crucial. The development of strategies to monitor and reduce its content is still in its early stages.

AI POLICY

There have been notable advancements in AI policy in 2024. The AI Act, which was adopted by the EU Parliament and several nations, is set to take effect shortly and may impose restrictions on specific AI applications by end of the year.  

• Ensuring that AI systems employed in the EU are safe, transparent, traceable and environment friendly is a top concern for the Parliament. To avoid negative effects, humans should supervise AI systems rather than relying solely on automation.

• Additional themes include the requirement for AI firms to be more transparent, more transparency for AI systems, and citizen complaint methods.
• Furthermore, there are model laws that cover safe AI development, permitting, monitoring, and legal responsibility, such as the “Responsible Advanced Artificial Intelligence Act of 2024″.
• AI ACT has different rules for different risk levels such as ;

• Additionally, Parliament wants to define AI uniformly and technology-neutrally so that it can be used with future AI system.

AI UPCOMING CONFERENCES 2024

BY CDAO GOVERNMENT:

• Learn how to overcome resource constraints, boost data-driven decision-making, accelerate digital transformation, and implement the most effective business intelligence techniques.

• This program is in its tenth year and ideal for people who wish to learn how to safely apply artificial intelligence’s strengths to problems involving government data. There are still CDAO events scheduled for Boston and Canada in 2024.

September 18-19, 2024.

Location: Washington, D.C., US.

WORLD SUMMIT AI:

• Learn how to overcome resource constraints, boost data-driven decision-making, speed up digital transformation, and implement the most effective business intelligence techniques.
• The forefront of business and societal transformation meets the limits of technology at World Summit AI, which is the center of AI innovation.

October 9-10, 2024.

Location: Amsterdam, Netherlands.

BIG DATA CONFERENCE EUROPE:

• This conference, now in its eighth year, covers a wide range of AI-related subjects, including ChatGPT, deep learning, and predictive analytics.
• The four-day Big Data Conference Europe is devoted to technical talks in the fields of AI, machine learning, big data, high load, and data science.
• The purpose of the event, which is being planned by individuals who are enthusiastic about big data and data exploration, is to inspire, educate, and inform.

November 19-22, 2024.

Location: Hybrid – Vilnius, Lithuania, and available online.

CONCLUSION:

Corporate Systems frequently uses ML that collects enormous volumes of data. Smart energy management systems, for instance, gather information from sensors attached to different assets. In 2024, major corporations like AI companies and startups are making new efforts to internalize their AI capabilities. This includes the Vertex AI training and deployment procedures, as well as the diffusion models and their theoretical underpinnings. Specifically, multimodal AI greatly expands the possibilities for smooth communication with virtual agents.