Dot Labs offers unique AI consulting services that will help you realize how many opportunities come from implementing AI solutions into your business.
Artificial Intelligence influences most industries, among the most popular are: retail, eCommerce, manufacturing, finance, healthcare, marketing, and gaming sector.
Dot Labs may offer to you a variety of AI services, starting from an AI strategy roadmap to building a scalable AI infrastructure and production-grade AI solution deployment.
An AI strategy outlines how AI will be integrated into various aspects of an entity’s operations, innovation, decision-making processes, and overall business or societal objectives.
Aligning an AI strategy with a broader business strategy is essential to ensure that the integration of artificial intelligence supports and enhances the organization’s overall objectives.
Developing an AI strategy involves understanding your business goals, whether they involve increasing revenue, improving customer satisfaction, optimizing operations, or expanding into new markets, and determining how AI can directly contribute to achieving them.
Not all AI applications will be equally beneficial to your business. Prioritize AI use cases based on their potential to generate value and align with your business goals.
We implement solutions based on high-tech solutions such as Computer Vision, Natural Language Processing, Predictive analytics, Image Recognition, Recommendation Engines, Smart Search Engines, and many more.
Dot Labs uses advanced AI algorithms, such as Random Forest, XGboost, Support Vector Machines (SVM). For tasks including Image or Text processing – Deep Learning algorithms are now very successful. Some of them are Convolution Neural Networks and Recurential Neural Networks.
Thanks to automatically choosing the most important features, AI Solutions can help solve the most difficult challenges of your business.
It gives SaaS applications the ability to use algorithms for thousands of customers.
Due to the fact that AI learns the history of all users, it gives amazing opportunities for the Marketplace. One of the examples is using a recommendation system based on the preferences of each individual person.
More than 9 in 10 leading businesses have ongoing investments in AI.
This way you can be sure that your project is our top priority.
Our AI experts will help you to:
First, we do our best to understand our customers and their needs. We analyze where there is room for improvements and discuss various high-tech solutions that would be the most effective.
This is a stage in which we closely cooperate with our client’s team, get access to crucial data and exchange information on a daily basis.
We want to make sure that the project we are working on together is going to be an investment that will quickly pay off and will keep on bringing additional value in the future.
At this stage, we already have reached an agreement and we now focus on making an idea come true. Our team prepares a complex plan, divides tasks and creates a timetable. Then, we build a prototype that resembles our main goal and analyze it with our client to agree on details.
Once everyone is satisfied with the prototype, we start working on the agreed solution.
Dot Labs team implements custom-made solutions into existing systems. Our team of experts runs multiple tests to make sure that everything works smoothly.
Our AI consultants are always available to answer any questions.
Now, your company can take advantage of the most recent technological solutions and observe how advanced algorithms improve their business outcomes.
Your industry isn't here? That’s not a problem!
All thanks to the implementation of an automated reporting and demand prediction system with predictive maintenance capabilities.
Dot Labs AI consultants have developed and created a system that helps managers and operation leaders to make the right decision on the costs and demand planning. Predictive maintenance solution is predicting when a particular production machine needs to be checked and potentially replaced.
Benefits include one integrated data platform and yearly savings of around 10m $ on right demand planning and inventory management. Continues production process and prevention from machine failures which are resulting in millions of dollars in costs.
We increased the effectiveness of the operational activities using image recognition.
Using advanced AI technologies our consultants created algorithms that help to find the best time to spend, identify the right channels and slots, and automate bidding for ad space. Image recognition and computer vision technologies were used for planogram execution, signing detection, and inventory automation using shelf analysis.
Benefits include 60 hours of labor saved each month. 30% advertising cost decrease and improving conversion rate by 5 p.p (from 16% to 21%) that led to the sales increase in around hundred of thousand dollars.
We implemented solutions based on the latest advances in machine learning services and artificial intelligence.
We implemented AI algorithms to provide multivariate analysis of the most valuable logistic indicators, we created a notification system for enhanced user experience and improve the interactions between departments, which helped in the daily work of employees and successfully optimized the business decision-making chain.
It enabled the company to bring shipping and logistics into the digital age and keep logistic cost optimization
The model takes into consideration customers’ behavior and adjusts pricing depending on individual financial profiles.
We created an AI-driven recommendation engine that analyzes a huge amount of transactional and customer behavior data to increase sales, overall business performance, and client engagement as well as satisfaction.
This solution was used to support up-sell and cross-sell campaigns.
Using AI leads to reducing human labor, especially in handling repetitive tasks.
A one-time investment in AI will be more cost-effective than hiring a full-time worker, as AI can automate labor-intensive processes without harm to quality.
By providing the ability to analyze various unstructured data, AI can identify patterns related to past incidents and predict future risk factors.
Artificial Intelligence increases the efficiency of decision-making processes as it constantly evaluates data coming from multiple sources, providing stakeholders with precise and real-time insights.
Artificial Intelligence (AI) is an area of computer science that focuses on the creation of intelligent machines which “think” and react like humans.
The main goal of AI technology is to imitate the behavior of an intelligent human being.
Computers need to learn how to respond to particular actions with the use of algorithms and historical data. Then, artificial intelligence creates a propensity model which starts making predictions.
44% of organizations have reported cost savings as a result of AI implementation.
The threat of cybercrime is becoming more and more dangerous every year as customers use digital transactions. It is an opportunity to steal their financial information as well as personal information. The more transactions are carried out on a daily basis, the more difficult it is for companies to ensure the security of every single transaction. AI solutions can help you solve this problem.
Artificial Intelligence technology is widely used in customer support to offer customers the best service. Thanks to artificial intelligence, your company can be available to customers 24 hours a day, 7 days a week, without the need for human assistance. Customers have a better experience and your business saves valuable time.
Personalized shopping is one of the most important aspects that increase customer loyalty. AI technology has found a solution to offer a personalized approach to customers who shop online. Product recommendation engines are one of the many AI-driven solutions that can help you retain customers and increase your revenue.
Today, companies collect more data about their customers than ever before. Unfortunately, it doesn’t make sense without data analysis. AI-based software can help your business process unstructured data and turn it into useful information about current trends, customer needs, etc.
Intelligent Process Automation
A new emerging trend that will be a game-changer in the future is IPA (Intelligent Process Automation). What is this?
IPA is a technology for automating business processes that enables the automation of individual tasks using artificial intelligence. This solution is a similar, more advanced version of RPA (Robotic Process Automation).
Essentially, IPA will enable us to use more machine learning algorithms to sort data and implement AI technology to recognize valuable information. So IPA is definitely a topic that we will hear more about in the future.
There are numerous different programming languages that could be used to build AI solutions.
The most popular ones are Python, Java, Prolog, C++, Lisp.
AI-driven prediction and decision making
Given the economic situation that has changed so rapidly in the world as a result of the pandemic, entrepreneurs will be even more interested in AI-based forecasts and decision-making.
It is safe to expect that the main areas that will particularly benefit from AI-driven business forecasting are sales departments, medical diagnostic applications, inventory optimization, and demand and workforce planning.
With AI-driven tools, businesses can make effective decisions based on accurate, data-driven information. Entrepreneurs can better identify business opportunities and understand customer needs and behavioral patterns.
Chatbots are already a technologically advanced solution that most of us use or at least notice every day. Conversational AI (in other words, AI-based chatbots) will take the next step in the nearest future.
What are the main advantages of AI chatbots? In short:
Conversational AI uses machine learning and NLP (Natural Language Processing) to:
If you don’t have your own team of AI experts, leave that to the specialists. AI consultants will integrate AI solutions with your internal systems and make sure everything works perfectly.
AI technology uses both structured and unstructured data. Artificial Intelligence database is a combination of data warehousing, advanced analytics, and visualizations in an in-memory database.
AI databases have incredible abilities, they can ingest, explore, analyze, and visualize fast-moving, complex data at the same time within milliseconds. Connecting particular databases depends on particular situations – for more information contact an AI consultant.
The role of an AI consultant is complex. AI consulting includes many tasks faced by data scientists and more. AI consultants need to help in creating an overall system based on different requirements necessary for successful implementation.
Moreover, they are responsible for managing AI-driven projects as well as are considered experts by DevOps teams who support them in capacity building making sure that internal resources are supporting code and artificial intelligence infrastructure.
Let’s take a look at different forms of AI systems. We can divide them into seven stages.
Stage 1: Reactive machines
This is the oldest form of artificial intelligence systems. It has very limited capabilities – one of the reasons for that is their lack of memory-based functionality. It means that they don’t have the ability to “learn” from their actions.
Stage 2: Limited memory machines
This AI system has the functionality of a reactive machine and additionally is able to learn from historical data. This way, it can make accurate decisions. Most existing AI applications known today are under this category.
Stage 3: Theory of mind
Theory of mind AI is a work in progress. Researchers are working on this next level of AI systems that will be able to truly understand human needs. How? Thanks to analyzing human needs, emotions, beliefs, and thought processes.
Stage 4: Self-aware AI
It is a stage of AI development that for now is only hypothetical. The main concept behind it is artificial intelligence that has evolved to be so similar to the human brain that it has developed self-awareness.
Stage 5: Artificial narrow intelligence
This type of AI represents all of the existing AI. Artificial narrow intelligence can only perform a specific task autonomously using human-like capabilities. These machines can do only what they are programmed to do.
Stage 6: Artificial general intelligence
This stage presents an ability of an AI to learn, perceive, understand, and function exactly like a human being. Once we reach this stage, we will be able to significantly cut down the time needed to train models.
Stage 7: Artificial superintelligence
That would be the peak of AI research. Artificial superintelligence would become the most capable form of intelligence on earth. It would not only replicate the intelligence of humans but it would be better at everything because of overwhelmingly greater memory, faster data processing and analysis, and decision-making capabilities.
But so far, we have nothing to worry about. Artificial superintelligence is only an idea at this point.
We were very impressed with their commitment to achieving a high-quality outcome and their willingness to explore a variety of possible solutions for our goal.
Dot Labs delivered a game-changing solution for us. The bespoke program and AWS Glue integration streamlined our data infrastructure, providing real-time MLS insights. Dot Labs surpassed our expectations, enhancing efficiency and positioning us competitively in the real estate industry.
Dot Labs transformed our marketing analytics at SQDL. Their dedicated data engineer optimized pipelines, providing efficient data flow from Google Ads API and streamlined our data integration, enhancing overall decision-making effectiveness.
The custom Web Data Connector not only enhanced data proficiency but also improved scalability. The partnership has truly unlocked the potential of our data, providing valuable insights for planning and optimizing costs.
Dot Labs revolutionized our data processing enhancing efficiency with AWS Glue. The automation of operations, real-time insights, and scalability have significantly optimized our energy efficiency mission.
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