What is Artificial Intelligence (AI)?
Enterprise application development has experienced exponential growth ever since BYOD policies emerged in the corporate world. Today, these critical business applications must seamlessly serve multiple users that utilize a wide variety of technologies, infrastructure, and devices.
Types of AI
Obviously, not all of these will be appropriate to every business. It is therefore critical to identify what you need and what is most applicable to your needs. This is where Tizbi can help you.
Why AI now?
AI has rapidly transitioned from hype to reality and has, therefore, become useful for business today because of the convergence of several technologies and factors including data explosion, algorithmic advancements, and the tremendous growth of hardware technology including compute power, memory, storage and cloud computing.
These advancements are mainly useful for a variety of reasons including cost savings, insights, improved decision making, enhanced customer experiences, conversational engagement, enhanced business process and so on.
The future of AI and Tizbi’s place in this future?
AI has a positive and inevitable future as technologies continue to advance in all spheres. As these technologies improve, benefits to businesses will also rapidly improve and increase. Bringing together the otherwise siloed AI-related technologies is critical if AI is going to deliver a value proposition that businesses can take advantage of. Tizbi is well placed to do this.
For example, predictive intellectual analysis from a vendor, decisioning from another vendor, and presentation from yet another can be brought together using an AI API and microservices. Better yet, these integrations and synergies can be continuously and seamlessly improved over time.
The future of AI and Tizbi’s place in this future?
Machine Learning uses algorithms to detect patterns and learn how to make predictions and prescriptions (recommendations) by processing vast amounts of data and experiences. ML then adapts by improving responses over time so that explicit programming instruction is no longer required.
Types of Analytics
Below are the main types of analytics according to increasing complexity. Machine Learning provides predictive and prescriptive analytics.
1. Descriptive analytics:
Describes ‘what happened’ Widely used across all industries
2. Predictive analytics
Anticipates ‘what’s going to happen’ Mostly used in data-driven environments where insights from the data are critical
3. Prescriptive analytics:
Recommends ‘what to do to achieve goals’ Mostly used by internet and data companies
Types of Machine Learning
Uses training feedback and data from humans to learn the relationship between inputs. It is best used when input data and the predicted result can be easily classified e.g. how ‘time of year’ and ‘economic indicators’ predict business spending
Algorithms used for supervised learning include:
Linear/quadratic discriminant analysis
Support vector machine
Simple neural network, AdaBoost, Random forest.
Uses input data to produce results that are not explicitly instructed. For example, using firmographic data to identify patterns that the algorithm will then classify for the user
Algorithms used for unsupervised learning include:
Gaussian mixture model.
Uses an algorithm to learn how to perform a task based on reward for performing certain actions e.g. devising a Forex trading plan based on profits made from acting off certain technical indicators or optimizing the driving behavior of a self-driving car
Why Choose Tizbi?
Through Tizbi’s domain and industry expertise, powered by a wide range of machine learning algorithms, AI-powered models, and other intelligent computational tools, Tizbi ensures organizations and enterprises benefit in the following ways:
Create superior business models, innovative services, and improvised products that will enable data-driven decision making and benefit end-users
Artificial Intelligence practice and implementation for business growth, increase cost savings, and to maximize ROI
Empower organizations to solve business challenges using cutting-edge machine learning enterprise solutions
Create future-ready products and services, (including artificial intelligence applications, and insights) using techniques like mathematical optimization, pattern recognition, nature-inspired algorithms, and computational intelligence
Discover, adopt, and/or adapt new processes/ideas during prosperous, challenging and mercurial business times
Improve data reliability, quality and efficiency of work output
Gain deeper insight and streamline service/communication between all stakeholders including customers, suppliers, personnel, etc. using computational intelligence, advanced interfaces, and accurate, real-time authentication.
In a nutshell, our comprehensive and innovative AI solutions are designed to ignite and sustain business growth by empowering every aspect of AI adoption across the board, from rapidly choosing the best strategic decisions to creating innovative and future-ready products and services that will solve business problems or streamline business process/operational efficiency. All this is mainly done through consultancy and in-house AI development.
What can Tizbi’s AI/ML solutions do for you?
Most artificial intelligence service companies use a typical AI or Machine Learning lifecycle that steps through building, training, and deployment of an AI model without any attention to self-sufficiency for their client. When clients receive these AI products or services, they are not able to sustain the AI projects due to needlessly slow and complex solutions.
Tizbi has a different approach. We inject a self-service methodology and get rid of unnecessary complexity and lag in the professional environment. We make AI adoption and implementation as fast and as accessible as possible, so that our clients can leverage its benefits, become self-sufficient, solve problems, meet challenges head-on, drive productivity and create greater business value. Of course, if you prefer, we can manage all, or part of, the AI technology for you.
Some of the benefits of our self-service AI/ML methodology are as follows:
No need to recreate pipelines that we have taken the time to develop, you simply add new data sets an use the AI APIs accordingly
Our AI solutions replace the need for repetitive coding tasks and instead provides the option of a visual drag-and-drop interface that makes things faster and more accessible.
Our AI solutions foster greater cohesion and collaboration between stakeholders (DevOps, IT, integration specialists, data scientists, data engineers and artificial intelligence engineers). This is achieved because repetitive or manual workloads are reduced by self-service AI solutions that Tizbi provides.
Instead of spending more time on manual, repetitive, resource-intensive tasks, stakeholders can collaborate in high-impact strategic aspects that make our AI solutions even more useful.
Clients are able to continuously train, deploy and redeploy custom AI models (as an API) without much need for coding or configuring servers as is typically the case during the model translation phase (after an AI model has been trained, tested and is ready to go live).
Time-to-value for our AI and machine learning projects is significantly reduced since excessive, repetitive, resource-hogging bottlenecks are eliminated, so that maximum value can be derived in the shortest time possible.
All our AI initiatives including frameworks, architecture, software and hardware can easily communicate. As such, there are hardly any extensibility, interoperability, or reusability issues to deal with, across business channels/processes and even among competing vendors. When such issues are anticipated, we advise the most efficient solution.
AI/ML in different Industries
Here are some of the industries that we can affect through our AI and Machine learning solutions
These industries are significantly impacted by AI as follows
Text Analytics can be used in these industries for market customization, product optimization, robust risk analysis, improve brand awareness, to analyze social media posts, competitor analysis, understand user perception, and for product catalog visualization
Intelligent Forecasting can be used for supply chain forecasting, predictive maintenance, inventory forecasting, churn prediction, and sales forecasting
Face Recognition can be used for people and object counting, object and face detection, edge detection, visual search engine, and sentiment analysis
Machine Learning is used in marketing to analyze buying patterns, personalize mail campaigns, precisely meet the customer’s needs, and offer customized offers
Machine Learning is used in sales to interpret customer data, improve sales forecasting, make transactional sales efficient, sales communication, and predict customer needs
- Customer service interactions
- Collecting customer data used for insights that create a competitive advantage
- Capture audible reactions
- Improve conversation capabilities
- Provide emotion analytics
- Predict emotional responses to customer online experience.
- Tailor and personalize the customer experience with a focus on making the customer happy
- Computer Vision is being used to pinpoint diseases in some cases where X-rays were previously used
- Natural Language Processing (NLP) for drug safety
- Machine Learning to find disease and other medical-related patterns within a population
- Medical Imaging to detect abnormal signs in MRI, PET, CT, X-ray, Ultrasound, etc.
- Other areas where AI is used in healthcare include; ID of high-risk patients, predict diseases, automate diagnostic tests, DNA analysis, increase accuracy and speed of treatment, improve drug formulations, and predictive care
Artificial intelligence building services (manufacturing and construction)
Artificial Intelligence has limitless potential in these industries and can be used in:
Energy and Mining
Software development, security, and cybersecurity
Expertise of our AI/ML team
Here are some of the industries that we can affect through our AI and Machine learning solutions
Unlock and experience intelligent value across countless business functions with Tizbi’s robust ML solutions that enable clients to efficiently and effectively realize actionable business insights.
Natural Language Processing (NLP)
Classification of emotions in messages
Spam detection and control
Summarize, extract and highlight keywords in long documents
Chatbots for seamless machine-to-human communication
Choice of numeric/digits words
Gathering and training data
Choosing and training models
NLP (used for machine translation, named entity recognition, text classification, language identification, document summarization, and sentiment analysis)
Speech Recognition (used for voice search, voice dialing, text-to-speech processing, voice commands, speech-to-text processing, and call routing)
Image Recognition (used for sentiment analysis, people and object counting, visual search engine, object and face detection, and edge detection)
Video Analytics (used for motion detection, dwell time monitoring for retail stores, facial recognition, smart surveillance, license plate reading, and recognizing long lines at checkout)
Optical character recognition
Enabling data-driven decision making
Creating innovative business models
Implementing ML for business growth
Empowering organizations to solve business challenges through cutting-edge solutions
Creating future-ready applications using techniques like mathematical optimization, pattern recognition, nature-inspired algorithms, and computational intelligence
Instantly address customer queries/concerns using a voice/conversational interface and by leveraging visual identity verification
Enhancing information processing by training AI models to produce better and increasingly accurate results
Summary of our expertise
Tizbi AI/ML service offerings
The range of challenges or problems that businesses face can be quite diverse, and the variation of ML architectures used to solve these challenges is also quite wide. Indeed, some algorithms are better at dealing with certain kinds of problems than others. As such, a clear understanding of every type of ML model is critical to choosing the most appropriate Artificial Intelligence Solution to a problem or challenge.
At Tizbi, our expertise in AI/ML models runs deep into most of the entire AI gamut which means that we are perfectly positioned to create the right solution that will deliver optimal results for our client’s diverse needs. Additionally, we constantly improve our AI/ML models through endless learning, continuously adding input data and relentlessly tweaking the models.
To ensure data integrity that is useful in everything from batch printing, graphics design, biometric identification, document identification processing, etc.
To enhance captured images that are useful for security and surveillance, retail analytics, marketing, etc.
To enhance forecasting accuracy through the use of statistical models and data analytics
To enable informed decisions based on synthesized and analyzed geospatial data
To find high-quality information in real-time from large amounts of unstructured data in the digital world
To enrich and support the long-term decision by identifying possible opportunities and risks
Tizbi’s Artificial Intelligence, Machine Learning, and Advanced Analytics services
Through AI Algorithms Development, AI models and other technology tools, Tizbi is able to provide machine learning development services that organizations can leverage for a variety of purposes.
The primary goal of our AI, ML, and Advanced Analytics offerings is to ensure that our clients business requirements and revenue/profits are secured by maximizing ROI and by enhancing intelligence in business processes and operations. We do this mainly through our consultancy, by developing advanced AI-powered applications, and other intelligent computational mechanics.
Tizbi’s AI/ML solutions seamlessly integrate with new/existing business models to offer unique, effective and innovative services as follows:
Allows businesses to grow/scale their operations using bespoke, data-rich ML solutions to solve complex business problems
Allows the client to gain from real-time insights, mined from vast amounts of data
Tizbi’s artificial intelligence benefits for enterprises and SMBs
Enjoy these and more benefits by choosing Tizbi as your Artificial Intelligence development partner
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