For all your Data Science, AI and Machine learning needs Phoenix Intelligence provides end-to-end consulting services.

Among the services we provide are:

Workshops: Looking to gain a better grasp of AI, the AI ecosystem and what your company may achieve by implementing AI? 

Workshops are available for both commercial and technical audiences at Phoenix Intelligence.

Program for scoping: Have a clear notion of what you’d want to do using AI and want to see if it’s feasible or turn it into a concrete plan of action? 

Our scoping programs provide you a solid plan for deploying AI in your company.

Project Execution: Do you believe in our strategy and want to see your ideas come to life?

Phoenix Intelligence oversees project execution from beginning to end including hiring specialists, Developing and delivering the solution and Documenting our Strategy and Methodology.

Ad-hoc AI Support: Already have a Data Science team in-house and need to supplement your capabilities on a temporary basis? 

We provide ad-hoc AI support that links you with Specialists that can help you.

The long and legal answer is as follows, which can be found in all Phoenix Intelligence contracts:

“Each party retains ownership of all [Background] Intellectual Property (IP).” The Client will own the Intellectual Property Rights in the Deliverables after he or she signs off on the project proposal. If the Client does not proceed with the recommended solution, Phoenix Intelligence retains ownership of the IP. 

For the Duration of the Agreement the Client provides Phoenix Intelligence a license to the Client Materials in order for Phoenix Intelligence to provide the Assignment to the Client in line with the Agreement.”

Clients own the Intellectual Property (IP) for anything they pay for to put it another way.

If Phoenix Intelligence runs a scoping program and makes a recommendation (i.e., a suggested solution including feasible Machine learning models and technologies) and you go through with the project your company will own the IPR generated by the produced solution.

Even while our clients typically hold the IP it’s not unusual for some of our Partners to share it with Phoenix Intelligence.

The rationale for this is to guarantee that technology remains Cutting edge in response to new discoveries or breakthroughs emerging from research. 

The technology is always growing and is a moving goal due to the rapid rate of discoveries and fresh techniques in AI & ML. 

In general the size of your company is less important than the goals you want to achieve and the Data you have to build a solution that is right for you.

Before starting an AI project Phoenix Intelligence advises customers to figure out what they want to accomplish using AI and what Data is available – or can be developed – to assist them get there. The approaches we propose will be influenced by these aspects.

There’s no need to panic if you’re still unfamiliar with Data. 

Phoenix Intelligence can assist you with the rest if you have a concept for a business difficulty to overcome or a goal to reach.

The primary benefit of a scoping programme is to de-risk a project by assessing the feasibility of developing a solution to meet your business objectives early on and then developing a detailed strategy that includes a recommendation of feasible AI / ML solutions as well as the infrastructure required to support these solutions.

In essence scoping programmes are critical because AI initiatives may easily go awry without proper planning, preparation and experience. 

Many businesses have spent a lot of money building in-house Data Science teams or hiring pricey consultants to create an AI panacea for all of their problems. 

These initiatives’ outcomes are frequently anticlimactic to dismal.

Why?

Because planning is critical to the success of any AI project. 

The business imperative in the foregoing instances is typically to offer a solution – or even just to ‘be inventive and as a result individuals jump right into issue fixing mode rather than problem analysis and exploration.

It’s like swimming into a pool without knowing how deep it is; great danger, little gain. We advise against making initiatives more risky and costly than they need to be. 

Every project should start with a thorough scoping plan.

There are no two sectors or enterprises that are alike. The same may be said for AI initiatives. 

Each company has its own set of goals and a distinct “technological DNA” (for example Data Infrastructure, Data Sources, Available Data, Software and so on) that affects possible solutions and project complexity. 

This is before you even think about the internal decision-making and approval procedure.In a nutshell the answer is dependent on the nature of your company. 

Phoenix Intelligence has scoped and completed AI projects in as little as two weeks while others need six months of planning and development.

After completing a scoping programme Phoenix Intelligence will give you with a complete project timetable so you can make an educated decision.

The project deliverables the complexity of the technologies required the time and resources necessary to finish the project are all aspects that impact the cost of an AI project.

As a result of completing a scoping programme Phoenix Intelligence will offer a detailed analysis of the project timeframe, resources and cost for every project performed.

The state of AI and the environment in which your company works are both changing. Clients’ and customers’ desires, requirements and expectations are continuously evolving and AI will continue to improve not just to meet these demands but also to predict and influence them.

So what does this imply for you? Your business can’t keep up with AI and AI can’t keep up with you. AI like any other aspect of business will force you to review your performance and adapt your strategy for attaining your objectives.

The process of increasing your AI expertise and comprehension might be daunting but it can also be thrilling. 

The ‘Accessible AI’ area of the Phoenix Intelligence website is a wonderful place to start learning about AI and Machine Learning. This section contains essential information on the history of Artificial Intelligence, Key Vocabulary and examples of how AI is used in many sectors.

If you’ve completed reading the section on Accessible AI and would like additional Information or to talk about how AI may help your company please fill out our contact form with a brief description of what you’d like to talk about and a member of our team will contact you within 24 business hours.

It’s all too simple for AI to make things more complicated than they need to be.

 Try brainstorming “which areas of my business can be improved?” instead of “which parts of my business can be improved by AI?”

If you can Identify areas of your business that may be improved Phoenix Intelligence can use our AI expertise to make the most solid recommendations possible to help you reach your goals.

Before working with us we recommend that all clients complete the following steps:

1.Define the business objectives and results that AI will help your company achieve. 

Ask yourself:
“What aspects of my business may be improved?”
What operations are now undertaken manually that might be automated to make them faster and more accurate?
What operational pain points would I tackle in a perfect world?
What do I want to achieve as a result of AI implementation?

2. Determine what Data your company has that can assist you in achieving this goal.

Consider Data to be the gasoline that drives many AI/ML systems; without it, the engine won’t start or operate as expected. 

Understanding the various Data kinds accessible to you can aid Phoenix Intelligence in determining feasible solutions to your business issues.

3. Determine how much money you’re willing to put into building an AI solution.

The cost of scoping, creating, and sustaining AI/ML solutions is an ongoing commitment on your company’s part. 

This investment should be viewed as a whole rather than just a financial one. 

This entails taking the time to learn how AI can help your company now, devising a strategy to incorporate AI into your company’s future and determining how much money you’re willing to put on real technology.

“It’s impossible to overestimate how huge of an influence (AI & ML) will have on society over the next 20 years” said Jeff Bezos the CEO of Amazon and a leading contender for the title of richest man alive. 

This is not a hyperbole. Artificial intelligence and Machine learning are already having a huge influence on businesses and our daily lives often in ways we can’t see or detect.

What do you think about the stuff you consume on Social Media, Streaming services and even news websites? 

Algorithms have shaped my life. 

Discount offers and product suggestions you get from e-commerce platforms? Algorithms once more.

What is the assessment of your creditworthiness?

Algorithms.

Developing innovative medications and medications in the healthcare field? Algorithms.

We believe you’ve grasped the concept. Algorithms or the DNA of AI and Machine learning may be found all over the place. 

We deal with them on a daily basis and they have such tremendous impact on our lives that we frequently don’t realise it until something goes wrong. 

Our exposure to AI will only become more seamless as AI technology develops, leading to higher expectations of performance from goods, services and businesses.

AI has a wide range of applications in a variety of industries and the advantages of these applications are almost as diverse. 

The particular benefits that AI may provide for your company will be determined by your company’s goals, accessible data and competitive dynamics in your sector.

To discover more about how AI may help your business go to the Phoenix Intelligence website’s “Concept of AI” section under “AI in Business.”

Many people believe that Artificial Intelligence is the fourth technology revolution. 

As a result a better inquiry may be “What are the Implication of not preparing my company to adapt to this revolution?”

Regardless of how the issue is posed the implications are the same for any company. 

Regardless of industry that fails to keep up with technological advancements and changing consumer demands and expectations.

These firms face increased rivalry from both new and current competitors who have successfully adapted to the new environment. 

This leads to a drop in sales, a loss of market share and a drop in profitability over time. If this pattern continues it will become a long-term performance trend eventually leading to the company’s demise

While AI has the potential to be used in practically every sector not every company is ideally positioned to benefit from AI and Machine learning.

This is due to a number of factors:

Quantity of data – Many AI applications and Machine learning approaches necessitate large Data Sets (“the input”) in order to offer the advantages AI may provide (“the output”).

Data quality refers to how clean (or noise-free) the Data is and how effectively it mirrors real world occurrences. 

Early in the discovery phase you’ll evaluate the applicability of your data for the business objectives you want to achieve so you can make an educated decision on project viability.The firm and or the market in which it operates’ predictability. 

Businesses that go through frequent structural changes for example find it challenging to link historical patterns (Derived from Data) to future Performance.

AI Economics – As previously said AI is a solution that needs a considerable amount of time and financial effort to comprehend the environment and develop a solution or product pipeline.

In other circumstances human-driven solutions may be more cost-effective or the efficiency obtained by applying AI may be minor resulting in an inadequate return on investment.

This is by no means a complete list it was created to highlight some of the most well-known and active AI and Machine learning applications.

 The easiest approach to find out if Phoenix Intelligence can assist you is to contact us directly offer us with some background information about your company such as your business objectives and a high-level overview of your Data and we’ll go from there to look at suitable AI prospects.