AI Consulting Services

The summer of 1956 at Dartmouth College can be called a landmark, where John McCarthy introduced the term “artificial intelligence”. It reflects that AI does not originate from the idea of two researchers in the field of Artificial Intelligence but rather has evolved over time. While initially, AI was aimed at problem-solving and formal reasoning, it would not be until the mid-twentieth-century milestones that the shape of AI today would appear.

Recent years have seen a rapid development of Artificial Intelligence, leading to the hype of machine learning and AI technology. Today, AI is successfully built into organizations and functions in multiple commercial industries. From providing automated response services for customer inquiries to increasing the smooth, efficient, and effective flow of materials or information, AI technologies facilitate the process and make it easier for decisions to be made.

The AI market expansion is estimated to be around $1.8 trillion in 2030. However, higher initial investment, difficulties, and compatibility issues of implementing new systems in preexistent frameworks seem to play a significant role in some firms’ reluctance to implement AI.

By the end of this article, we will cover the significance of AI in restructuring organizations and several sectors and guide readers on how to apply AI in enhancing productivity and streamlining methods.

The Types, Categories, and Benefits

AI stands for artificial intelligence, a sub-discipline of computer science that revolves around the development of computer programs that can do what a human being is capable of doing. These contain functions such as reasoning, learning, problem-solving, and comprehending language.

Types of AI

AI can be categorized in various ways, including by capabilities, technologies, and functionalities:

• Narrow AI (Weak AI): Narrow AI is designed for certain applications, such as recognizing faces or searching the internet, and is currently the prevalent type
• General AI (Strong AI): This AI embodies traits close to general intelligent aptitude, which empowers it to solve new problems without human prodding
• Superintelligent AI: This refers to a theoretical future AI that would surpass human intelligence in all domains, including creativity and problem-solving
• Reactive Machines: These AI systems learn in response to their environment without using memories; an example is Deep Blue, an AI system developed by IBM that beat the chess champion, Garry Kasparov
• Machine Learning (ML): Autonomous learning from data as AI systems that develop on their own based on acquired experience
• Deep Learning: A type of artificial intelligence that can learn and improve by itself from big data inputs and is used to support technologies such as facial recognition, voice commands, and queries.
• Natural Language Processing (NLP): A subset of AI utilized in chatbots and translation services, where it is really applied as a tool for interpreting natural languages.

Benefits of AI

AI is not just about making things efficient because of its capability in handling massive data and being able to run systems independently.

AI benefits companies in various scopes:

• Operational Efficiency
• Customer Experience
• Cost Reduction
• Risk Management
• Innovation
• Scalability
• Competitive Advantage

Transforming Your Business with AI

We want to share some real-life examples of AI reshaping businesses that provide an opportunity to understand the benefits of AI better.

Data Mining

You’re familiar with Microsoft Power BI, Tableau, and Google Data Studio. Did you know they mine and visualize data from various sources? Other corporations like Meta, and Twitter monitor users’ actions to possess information that shapes their service and publicity pitches.

All of this wouldn’t have been possible without AI-powered solutions. This process requires collecting raw data from websites, social media platforms, and other sources, which is impossible to complete manually.

Behavioral Analytics and Personalization

Predictive AI is a wonderful solution that allows businesses to analyze and understand customer behavioral patterns, habits, and preferences to create personalized content and advertising. For example, Netflix uses AI to recommend shows based on viewing habits. Similarly, Spotify employs an AI-powered recommendation system.

Smart Device Integration

AI increases the interactivity of smart devices and makes them effective. Virtual assistants, including voice-activated virtual assistants and smart home devices such as Amazon Alexa and Google Assistant, are used in speakers and home automation devices that enable users to seek help from virtual assistants and control their homes, enhancing their comfort and satisfaction.

Intelligent Gaming Systems

Have you played a video game with NPCs (non-player characters) around or enemies that you have to interact with from time to time? These games use AI to provide realistic and challenging gameplay. For example, in the video game The Last of Us Part II, enemy behavior is enhanced and realistic, making the gaming experience dynamic and engaging players further.

Conversational AI

Generative AI is possibly one of the most popular AI solutions globally since it’s accessible to everyone. We already know it in the form of ChatGPT, Gemini, and similar systems. Companies use this technology to build AI chatbots and virtual assistants and engage users in written communication. This technology is great for customer service departments, content creation, and more.

Visual Creativity

Adobe Photoshop’s Neural Filters and tools, like DALL-E 2 and Midjourney, allow users to generate, edit, and adjust images using AI. This technology has assisted countless designers and digital artists in increasing their creativity, productivity, and artistic possibilities.

AI-powered solutions assist almost all industries, but sectors that extensively use AI include finance, manufacturing, healthcare, retail, education, transportation, telecommunications, marketing, and more.

Barriers to AI Adoption

Amazon and Pepsi benefit from using AI consulting companies by getting a consultation on how they can adopt this technology on their websites and stores.

Advanced AI solutions can greatly reshape business processes, yet several companies face major challenges that prevent them from becoming AI-native. Yet, comprehending these difficulties and the worth of engaging professional help within an AI Consulting firm might be critical.

Challenges and Obstacles in the Journey towards AI

1. High initial costs: You might need a considerable amount of initial capital and resources to begin implementing an AI system. These costs are often beyond the reach of many organizations, particularly small to medium enterprises
2. Complexity of integration: At the current state of affairs, firms could discover that their existing IT environment poses a harmonious combination with complex AI systems. For instance, a retail chain that is seeking to employ AI in its operations with a focus on streamlining its inventory might face challenges due to an inadequate or unsuitable systems architecture
3. Talent gap: The current state of AI professions and their skills is another factor that poses a threat to the talent pool since there is a clear shortage of talent. Moreover, often, talent has to be compensated adequately, which is unattainable for many organizations
4. Data privacy and security concerns: Machine learning, at its core, commonly utilizes big data to operate as desired, and this aspect is highly sensitive to privacy and security. Decision-makers remain wary about the impacts of AI technology and the potential negative consequences, and companies worry about the destruction of their reputation due to a data breach
5. Lack of understanding: There is a systematic disconnect between what AI can and cannot deliver and the expectations at various levels. Business and corporate owners may have high-powered expectations of getting instant and high revenues from AI and are disappointed when this does not happen
6. Cultural resistance: Sometimes, there is organizational resistance since the users do not trust the AI or are scared that their jobs will be taken by it.

The Role of AI Consulting Companies in Overcoming Implementation Challenges

Since there are certain challenges associated with the integration of AI solutions, engaging an AI consulting firm can be valuable. AI consulting companies focus on advising organizations on how to enhance their business by using AI, contributing to the design of AI solutions, and ensuring the successful implementation of those solutions within an organization.

AI consulting parties can provide expertise that is difficult for an organization to acquire internally and immediately apply AI strategies to utilize the current technologies. Such consulting firms can also help with how information may be protected, as well as how companies can conform to existing privacy regulations.

Moreover, cost estimate from a professional AI consulting company may be more accurate as well as the application of AI might be implemented step by step.

Overall, at Glorium Technologies, we have a team qualified for implementing AI for 12+ years to help companies with the organization’s AI integration and staff training for cultural shifts.

If you are considering the adoption of AI in your organization, incorporating third-party AI consulting services can help provide the necessary depth, breadth, and knowledge of AI and the changing environment to ensure the transition of AI and the organization for future growth. If you want to learn more about some of our products or services, please contact our team to discuss your project, as well as your needs and exact requirements.