Do you love watching animated movies or robotic discoveries? If yes, you should be well aware of the increasing importance of robots in our daily lives, be they in the form of smart bots, agents, or any software. The typical image engraved in our minds of robots is not that practical right now. We assume robots to have big bodies and complete our tasks while interacting with us daily, but only a few of us know that we use small robots in our daily lives that automate our work and make life easier.

The often asked question that we fail to answer is what artificial intelligence is? If you want to know in the simplest form, let me say it is the simulation of human intelligence to increase efficiency and effectiveness by machines. The machine can be in any form, but the most common one we know of is the computer. AI is a build-up of natural language processing, speech recognition, expert systems, and machine vision. Artificial intelligence solutions are the path to a transformed environment to address issues relating to efficiency, effectiveness, profitability, cost, innovation, etc.

In recent times, AI has taken over the world by storm as it can be seen being implemented in various sectors to promote products and services. The AI works simply by collecting, analyzing, and using data to make future predictions. AI machine learns from the tasks they are made to and can easily recognize the objects. The trained AI machine acts the same in similar situations without analyzing the task at hand. The four AI types help mitigate your business needs regarding machine automation to do specific tasks. The following are the types of artificial intelligence.

1. Reactive Machines

Let’s start with the simplest AI that is the reactive machine. They perform the basic operations without any learning; in short, they are task-specific. No data is stored as it has no memory, so it cannot use previous experiences to make future decisions. Reactive machines react to input with some output in the shortest time. The simple structure of these machines allows the model to get easily downloaded, traded, shared, and loaded in your toolkit. A static machine learning model is an example of such AI’s.

2. Limited Memory

This type of AI stores data and uses past experiences to make predictions for future endeavors. It is a bit more complex machine learning with limited memory and can quickly deploy as a reactive machine in any industry. Machine learning is built-in the structure for it to survive a limited memory.

You can easily achieve reinforcement learning, long short-term memory, and evolutionary generative adversarial network models through limited memory. The limited memory trained to work in two ways is the complete smart solution for many menial tasks at work. You continuously train a model with new data, or the model automatically gets trained and renewed with continuous usage and behavior.

Machine learning follows active learning that trains data, builds the model, predicts, provides feedback, uses the feedback, and repeats the process.

3. Theory of Mind

Another type of artificial intelligence is the theory of the mind, a social form of intelligence implemented and is in the initial testing stages for other products.

You will be wondering how it is different from the limited memory type or what features makes it stand out from the other types. The theory of mind is the updated version being implemented in various sectors to provide comfort, luxury, and state-of-the-art features. This AI uses human emotions and intentions to predict behavior and get a task completed. The current models only have a one-way relationship to provide ease. Still, with the ongoing advancement in artificial intelligence, it is evident that soon these models or machines will start acting like humans to get work done on time appropriately.

4. Self-Aware

The fourth type of AI is ‘self-aware,’ as the name suggests, it knows about itself and its surroundings. Though this type of artificial intelligence is a futuristic approach yet not created, AI will become self-aware and an independent entity. Many people are excited and looking forward to the rise of such intelligence that will change world dynamics with just one type of artificial intelligence, removing the need for other types. In contrast, the others fear the circumstances that may arise with the development of such independent machines that will be beyond human intelligence to handle or understand.

These were the four most common types of artificial intelligence that we know of integrated into security, automotive, manufacturing, healthcare, finance, digital marketing, business education, and so on. But with the demand for highly responsive AI, artificial narrow, general, and superintelligence that works on a similar outline but has a stronger foundation in implementing such tech-oriented intelligence in eliminating repetitive tasks, enhancing creativity, and implementing new technologies in different fields.

What steps should you include in AI strategy development?

The best artificial intelligence strategies are a blend of multiple smaller strategies that together shape your AI technology.  They are considered the building blocks of a more extensive AI strategy for the proper implementation in your organization. The AI turns into reality with the mitigation of management and technological issues at the right time. Different industries use different AI strategy templates or technologies to implement most effectively while cutting the overall development cost.

Most of the AI strategies include the following steps crucial for any AI development:

1. Business Strategy
2. Strategic priorities of AI
3. Short-term AI adoption
4. Data strategy
5. Technological issues
6. Ethical and legal issues
7. Skills and capacity
8. Implementation
9. Management issues

In conclusion, artificial intelligence is a growing field of technology, creativity, and research to change the human-intensive workforce to capital-intensive production to complete work more efficiently and increase productivity with less cost. Implementing an AI strategy is a one-time process that requires huge investment, but its ROI is quicker than other traditional techniques. The future is arriving faster than ever with artificial intelligence technologies, and soon automation, machine learning, robotics, machine vision, and NLP will be taking over the world.

In recent times, technology has made rapid progress within no time. Although, technology and science are both interconnected with each other. Technology and science are collectively working to facilitate us with the unique, intelligent, and efficient formulation.

With passing decades, science has made rapid growth to serve best to this beautiful nature. Science with technology is an incredible suspension that has given mechanicals an ability to think like a human. Yes, in recent times machines are getting intelligent to think, work and act like a human. You will think that how it is possible? It is possible through Artificial Intelligence. AI has made us capable of developing intelligent devices such as robots, smart sensors, smart detecting machines, virtual reality, and much more. Furthermore, yet there is a lot of things that must be explored. For this purpose, an AI consultant is needed to come up with new ideas with amazing facts.

What is an AI consultant?

An AI consultant is the one who is responsible for modeling, designing, allocating, formulating, and implementing development solutions with artificial intelligence technologies. An expert in AI is more than a data scientist that comes up with new themes of development with the implementation of AI-based infrastructure.

The vision of AI Expertise

The Ai expertise has a strong vision to promote intelligent retrieval systems to their client, experiencing smart assistance-driven solutions and products to their needs. In this way, the essence of AI in technology invented a model that eases human difficulties.

AI advising company services:

With increasing influence in artificial intelligence, the need for smart systems is also increasing in high ratio. In fact, it has covered all the industries, including software, business, banking, e-commerce, etc. following are the exceptional AI advice that a consulting company provides:

• Strategic planning
• Model design
• Application

1) Strategic planning

Software corporations hire AI consultants, or they sign contracts with AI expert advice companies to work for them. The first step in service is to make a plan according to requirements. The intelligent experts understand the customer’s needs that why they are expecting, a great challenge. After identifying, a strategic plan is made to formulate an AI-based system that can give the customer’s product an intelligent touch. More, the AI advising company focus on the corporation’s development status for a strategic plan as:

• Knowing the corporation’s status
• Crafting suitable AI steps for implementation
• Estimating end-product’s value
• Inducing machine learning models as best intelligent solutions
• Inauguration of samples for response
• Identifying the challenges with better solutions

2) Model design

After the detailed analysis, the next step to serve the customer is to design a model according to planning. In this case, a team of expert AI advisors is set to join heads and express their ideas to design the infrastructure of the final product. In simple words, the imaginations come true in this step. The designing of the model includes a handsome investment of AI techniques that fulfills customer’s desire.

3) Application

The last step in service provision is the practical implementation of ideas. From here, the development process starts; an expert team of development is set to develop an intelligent system with respect to the information provided. In this step, highly skilled developers implement custom solutions and advance AI techniques with the latest trends. The application step includes the development and testing process, in which the developed product goes through step-by-step repeated testing. As a result, an efficient system is delivered to clients.

Significance of AI consulting firms

The emergence of Artificial Intelligence is increasing with its increasing development and advance nurturing. It has become a clue to proceed ahead in this technology-enriched world. However, the need for AI consultants is slopping upward due to its appreciable solutions. Here are some important factors that draw it significance:

• Efficiency in performance
• Guaranteed security
• More productive by-products
• Unlimited data collection
• Pocket friendly
• Tracking tool

1) Efficiency in performance

The efficient the system, the more it will be worthy. With expert AI solutions, the working efficiency of a system is highly affected in a positive direction. When AI techniques and approaches are induced in a system, it performs faster intelligently. Therefore, the increasing efficiency adds worth and gives it a high priority.

2) Guaranteed security

AI highly ensures the security of data in the system. As an example of AI-made software, a billing software suggested by AI Consultant Company is appreciable. This software intelligently detects missuses, frauds, and unauthorized access. In this way, a plus point insignificance is the guaranty of security.

3) More productive by-products

AI furnishes the system in an incredible way that more productive by-products are the outcome. The custom consulting solution in AI automates the administrative functions for more efficiency. In this way, with a smart application, we get to improve many software problems.

4) Unlimited data collection

The worldwide is under the consideration of a giant for data collection. But with the advent of AI, web development services are replacing by smarter means. There are AI-driven data collection applications that gather authentic information within no time. On the other hand, if we go for web services, it takes time and requires a lot of research.

5) Pocket friendly

AI consultant companies provide expert advice to corporations on a friendly budget. However, giant systems require a high budget, but artificial intelligence is getting more advance in providing smart solutions. No matter how bigger your need is, it will be highly fulfilled by AI by doing less.

6) Tracking tool

Earlier, web development services were used to track activities by cookies. But now with AI is replaced. The most appreciating significance of AI is its tracking capability. With smart, trained devices, detection and tracking have become easier. You can track anything like location, malicious activities, fraud detection, etc. Furthermore, the system delivered to the client can also be tracked for fixing bugs and errors.

Closing:

In closing, AI consultant firms are worthwhile for running a corporation to solve corporate problems. Although the web development services are also focusing on inducting artificial intelligence in web systems to make them efficient, timeless, and an excellent solution for smart progress. The scope and job opportunity of an AI consultant is very high with handsome packages. If you are new to build your career, then you can proceed with an AI developer or a consultant.

An HBR article titled, “stop the meeting madness” noted, the length and frequency of meetings has increased, and executives can spend up to 23 hours a week in meetings. For most executives, 23 hours is way too much time, particularly if they feel that they cannot quantify or quality the benefit of the meetings they attend. The question then is, how can you stop the culture of inefficient meetings and introduce a culture of efficient web conferencing?

Unless you have heard of Aira, an AI meeting tool, knowing what an efficient meeting means or even where to begin with creating one, can be quite a daunting task. But fear not, for we will show you in this article by demonstrating:

• What an inefficient meeting looks like. This is a “before” scenario, where you haven’t automated web conferencing
• What an efficient meeting looks like. This is an “after” scenario, where web conferencing in your company will be conducted via Aira

Before Scenario: Web conferencing Without an AI meeting Assistant

Picture this: Your boss has just told you that he needs to have a meeting with the sales team. You immediately set about organizing the meeting in as little time as possible, although you already know from past experience that the task is more complex than it looks.

Here’s what you have to grapple with:

1. Getting A Meeting Time That Is Suitable For Everyone

Meeting turnout is the most important goal on your mind. As salespeople are busy, field-based professionals, they most likely will not be around the office on the same day. More so, your boss is a busy person. As such, your biggest task is coordinating with every individual member of the sales team to ensure that their available times coincide with your boss’s.

The Challenges

• Manually coordinating meeting time is tedious, repetitive and time consuming
• Even after all that coordination, you might still get low turnout
• If anyone misses a meeting, they will only have manually-typed minutes to rely on. They will not learn of any important details not captured in the minutes.

2. Taking Minutes

If every member doesn’t attend, you will need to organize a follow up meeting with them and your boss. This means spending more time organizing meetings, at the expense of your other responsibilities.

The Challenges

• If people speak over each other, you are likely to miss what they say. Unless you want to send inaccurate meeting notes and action items, you have to clarify with people, edit, then send out the minutes
• Lack of standardization of language, terminology and format. If you are not a salesperson, you will need to work a little bit harder to learn the jargon, in order to properly capture the spirit of the discussion notes. In addition, manual minute formats change. This is a seemingly unimportant factor, but one that if not observed can lower team standards.
• Once filed, meeting minutes are likely to be forgotten. Unless you come up with a way of archiving your minutes and naming them properly, they will be difficult to find.
• It can be difficult to find a specific discussion item in meeting minutes
• Wastage of resources. Writing notes only to type them later results in wastage of paper. You waste even more paper if everyone has to print their meeting notes thereafter.

The After: Enter Aira, The AI Meeting Assistant

As mentioned above, AI has pervaded many areas of life, including meetings. Companies that are keen on staying ahead of the curve are now using AI web conferencing tools like Aira to save precious minutes.

Assuming you have an AI meeting assistant, here’s how you would go about arranging web conferencing for your team:

1. Take The Hustle Off Organizing Meetings

An AI meeting assistant can make it easier to find a suitable meeting time. For example, every member of the team logs into the meeting assistant, their calendars automatically sync, giving you visibility of their available times. This way, you don’t have to coordinate meeting attendance time with individual members.

Further, advanced features such as Aira’s ability to attend meetings on behalf of people mean that even if someone misses a meeting, they can always catch up later without any involvement from you.

2. No Need For Manual Minute Taking

You don’t need to worry about taking minutes or meeting notes when you have an AI meeting assistant. The app will record the minutes and notes and also provides transcripts of the same. Since AI learns, it can detect human language with precision, meaning that everything said in a meeting is recorded. This limits the need for backchecking with individuals or editing.

3. Action Items

Another thing that an AI web conferencing assistant like Aira can do is managing meeting related tasks. Anyone can go into the tool, access transcripts or recordings to find what they need to do.

4. Searchability

Keywords tell people if content is relevant to them. AI makes this possible. For instance, Aira’s use of keywords makes it easy to search through meeting notes. This way, any participant who did not attend a meeting can search through a transcript by keyword to learn if the meeting was relevant to them.

Conclusion

We hope it’s now clear that by using an AI meeting assistant you can get these key benefits:

• You can save a lot of time by eliminating manual meeting tasks
• You can get more value from web conferencing, e.g, through accurate notes and minutes

If you are still conducting your meetings manually, sign up for a demo with Aira to experience the real value of AI in web conferencing.