Artificial Intelligence and Machine Learning

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Overview

What is Artificial Intelligence (AI)?

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

Machine Learning
Machine Learning (ML) and Deep-Learning Neural Networks (Deep-Learning Neural Networks are an offshoot of ML). They are both core AI technologies.
Interfaces/Virtual Agents
Conversational Interfaces/Virtual Agents (including voice and chatbots)
AI broadly encompasses five technologies including
Natural Language Processing
Natural Language Processing (NLP) of both written and spoken language
Physical AI
Physical AI (autonomous vehicles and robotics)
Computer vision
Computer vision (video and image processing)

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?

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?

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?

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

Supervised 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:

Logistical regression

Logistical regression

Linear regression

Linear regression

Linear/quadratic discriminant analysis

Linear/quadratic discriminant analysis

Naives Bayes

Naives Bayes

Decision tree

Decision tree

Gradient-boosting trees

Gradient-boosting trees

Support vector machine

Support vector machine

Simple neural network, AdaBoost, Random forest

Simple neural network, AdaBoost, Random forest.

Unsupervised learning

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:

Recommender system

Recommender system

Hierarchical clustering

Hierarchical clustering

K-means clustering

K-means clustering

Gaussian mixture model

Gaussian mixture model.

Reinforcement learning

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:

Enable data-driven decision

Create superior business models, innovative services, and improvised products that will enable data-driven decision making and benefit end-users

Artificial Intelligence practice

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

Artificial intelligence applications

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

Improve data reliability

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

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.

Brain

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.

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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:

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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

Sales, marketing, and retail Healthcare Human Resources

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

AI Chatbots

  • 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

Sales, marketing, and retail Healthcare Human Resources
Healthcare has endless possibilities with AI. Some of the areas AI is used include:
  • 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
Sales, marketing, and retail Healthcare Human Resources
Machine Learningis used for individual skill management, to track and assess applicants, detect attrition and to attract relevant talent

Artificial intelligence building services (manufacturing and construction)

Artificial Intelligence has limitless potential in these industries and can be used in:

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Automation of human tasks
Automation of human tasks
Preventative maintenance
Preventative maintenance
Reduce human error
Reduce human error and better utilize big data to make the construction process safer, faster, and even more cost-effective
Manufacturing Process Control
Manufacturing Process Control (MPC) to improve operational efficiency and quality using image processing solutions
Enhance worker
Enhance worker safety using facial recognition technology

Energy and Mining

AI and Cognitive technologies
AI and Cognitive technologies are used for multi-agent scheduling, for seamless autonomous operation asset management, rule compliance, prognostics and diagnostics
Cognitive Intelligence
Cognitive Intelligence is used to remove friction from port scheduling operations
AI is used to improve mining operations
AI is used to improve mining operations through better predictive technology
Machine Learning
Machine Learning is used in drilling to gather insights from data acquired from sensors. Data used includes seismic vibrations, strata permeability, thermal gradients, pressure differentials, etc.
AI is used to generate insights
AI is used to generate insights that remove the guesswork from equipment repair and failure and unplanned downtime

Software development, security, and cybersecurity

Artificial Intelligence Deep Learning
Artificial Intelligence Deep Learning
Artificial intelligence service management
Artificial intelligence service management
B2B Artificial Intelligence
B2B Artificial Intelligence
Financial Services
Financial Services
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City Planning
City Planning
Education
Education
Intellectual Property
Intellectual Property
Expertise of our AI/ML team

Here are some of the industries that we can affect through our AI and Machine learning solutions

Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Machine Learning expertise

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.

Our Machine Learning (ML) developer expertise encompasses:
Deep Learning

Deep Learning

Predictive Analytics

Predictive Analytics

Image Analytics

Image Analytics

Video Analytics

Video Analytics

Natural Language Processing (NLP)

Natural Language Processing (NLP)

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Natural Language Processing (NLP) expertise
Our NLP expertise is derived from using a combination of AI, ML, and linguistics skills to include:
Information extraction

Information extraction

Classification of emotions in messages

Classification of emotions in messages

Spam detection and control

Spam detection and control

Summarize, extract and highlight keywords in long documents

Summarize, extract and highlight keywords in long documents

Speech recognition

Speech recognition

Chatbots for seamless machine-to-human communication

Chatbots for seamless machine-to-human communication

Semantic search

Semantic search

Machine translation

Machine translation

Through Tizbi’s NLP expertise we can integrate the following features into applications:
Message personalization

Message personalization

Verb tenses

Verb tenses

Contractions

Contractions

Capitalization

Capitalization

Predefined synonyms

Predefined synonyms

Choice of numeric/digits words

Choice of numeric/digits words

Vocabulary transfer/expansion

Vocabulary transfer/expansion

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Deep Learning (DL) expertise
Our DL expertise encompasses:
Gathering and training data

Gathering and training data

Labeling data

Labeling data

Parsing data

Parsing data

Choosing and training models

Choosing and training models

NLP

NLP (used for machine translation, named entity recognition, text classification, language identification, document summarization, and sentiment analysis)

Speech Recognition

Speech Recognition (used for voice search, voice dialing, text-to-speech processing, voice commands, speech-to-text processing, and call routing)

Image Recognition

Image Recognition (used for sentiment analysis, people and object counting, visual search engine, object and face detection, and edge detection)

Video Analytics

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)

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Computer Vision expertise
Our Computer Vision expertise encompasses:
Optical character recognition

Optical character recognition

Image processing

Image processing

Video analytics

Video analytics

Face detection/recognition

Face detection/recognition

Emotion analysis

Emotion analysis

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s AI/ML and advanced analytics consulting expertise:
Our AI/ML and advanced analytics consulting services expertise encompasses:
Enabling data-driven decision making

Enabling data-driven decision making

Creating innovative business models

Creating innovative business models

Implementing ML for business growth

Implementing ML for business growth

Empowering

Empowering organizations to solve business challenges through cutting-edge solutions

future-ready applications

Creating future-ready applications using techniques like mathematical optimization, pattern recognition, nature-inspired algorithms, and computational intelligence

Instantly address

Instantly address customer queries/concerns using a voice/conversational interface and by leveraging visual identity verification

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Neural Network expertise
Our Neural Network expertise includes:
Enhancing information

Enhancing information processing by training AI models to produce better and increasingly accurate results

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Machine Learning expertise Natural Language Processing (NLP) expertise Deep Learning (DL) expertise Computer Vision expertise AI/ML and advanced analytics consulting expertise Neural Network expertise Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Tizbi’s Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise
Our Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence expertise encompasses:
Future forecasting

Future forecasting

Product recommendations

Product recommendations

Opinion reviews

Opinion reviews

Spam filtering

Spam filtering

Anomaly detection

Anomaly detection

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Summary of our expertise
Programming languages
Programming
languages
Artificial Intelligence with Python, .NET, R, Java, JavaScript, PHP, and Ruby
Hardware vendors/partners
Hardware vendors/partners
Nvidia, AMD, Intel, ARM, Qualcomm, Cadence, Xilinx
Platforms
Platforms
Microsoft Azure: Azure ML, Language Understanding, Azure Cognitive Services, Chatbot Framework Intelligent Service. Google Cloud Platform (GCP): DialogFlow, Cloud Machine Learning Engine, Cloud Natural Language, Cloud Speech API, Cloud Vision API Amazon Web Services (AWS): Amazon ML, Amazon Rekognition, Amazon SageMaker, Amazon SageMaker RL (Reinforcement Learning), Amazon Lex, Amazon Polly, Container and Private Cloud Solutions: Docker, Kubernetes, OpenStack
Frameworks
Frameworks
TensorFlow, PyTorch, Pyro, PyML, Apache MXNet, Scikit-learn, Chainer, SparkML, Horovod, Keras, Gluon, DataBricks’ MLflow, Stanford University DAWN, Uber Michelangelo, Google’s TFX, Facebook’s FBLearner Flow
Data
Data
Identity Recognition data(e.g. documents, biometrics), Facial Recognition data, Remote Image Sensing data (e.g. geospatial data), Scenario Detection data (e.g. risk/opportunity data), Text Analytics data (e.g. social media posts, emails, etc.), and Intelligent Forecasting data (statistical models and advanced data analytics)
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.

Identity Recognition
Identity Recognition

To ensure data integrity that is useful in everything from batch printing, graphics design, biometric identification, document identification processing, etc.

Face Recognition
Face Recognition

To enhance captured images that are useful for security and surveillance, retail analytics, marketing, etc.

Intelligent Forecasting
Intelligent Forecasting

To enhance forecasting accuracy through the use of statistical models and data analytics

A few of the AI/ML models that we use include
Remote Image Sensing
Remote Image Sensing

To enable informed decisions based on synthesized and analyzed geospatial data

Text Analytics
Text Analytics

To find high-quality information in real-time from large amounts of unstructured data in the digital world

Scenario Detection
Scenario Detection

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:
Our Machine Learning
Our Machine Learning and Algorithm design service

Allows businesses to grow/scale their operations using bespoke, data-rich ML solutions to solve complex business problems

Our Deep Learning service
Our Deep Learning service

Allows the client to gain from real-time insights, mined from vast amounts of data

Our Computer Vision service
Our Computer Vision service Extracts real-time data from images and video and use the data to generate insights that are useful to improve business process efficiency
Our Natural Language Processing (NLP) service
Our Natural Language Processing (NLP) service (including Statistical Analytics and Predictive Modeling Analytics) enables client applications to better understand human communication. Essentially, NLP is used to process unstructured data into actionable insights
Our Neural Networks
Our Neural Networks and Dynamic Bayesian Networks service Enhances information processing by training AI models to provide increasingly higher quality/accurate and actionable data or insight
Our Advanced Analytics
Our Advanced Analytics and Cognitive Predictive-Prescriptive Intelligence service Enables the creation of new opportunities and the enhancement of business strategy using AI/ML models and cognitive capabilities. The service utilizes Deep Learning, NLP, Image Analytics, Video Analytics, Predictive Analytics, Prescriptive Analytics, and cognitive computing Chatbot APIs to build intelligent, ever-learning chatbots. Our Artificial Intelligence cognitive services also allow clients to address their customers in real-time using conversational/voice interfaces and visual identity authentication/verification
Our AI/ML
Our AI/ML and advanced analytics consulting services Facilitate data mining and knowledge discovery, real-time data visualization, creation of interactive dashboards, data science solution architecture and design, data science-use case studies, proof of concept, monitoring, preventative maintenance, IoT, industry analytics (e.g. insurance analytics, healthcare analytics, and retail analytics)
Our robot process automation service
Our robot process automation service Tizbi’s Artificial Intelligence and robotics experts use Artificial Intelligence programming and Machine Learning Engineering to create bots that execute routine, rule-based tasks by mimicking human interaction. These bots enable the user to focus on higher level tasks instead of wasting precious resources on easily automated tasks
Tizbi’s artificial intelligence benefits for enterprises and SMBs

Enjoy these and more benefits by choosing Tizbi as your Artificial Intelligence development partner

Our Machine Learning solutions
1. Our Machine Learning solutions enable businesses to automate operations, save time, cut down costs, enhance efficiency, and boost productivity.
Our Machine Learning solutions
2. Our Deep Learning solutions empower organizations to gain competitive advantages, improve operational efficiency, and drive revenue growth.
Our Machine Learning solutions
3. Our Computer Vision-powered applications enable clients to gain useful insights and improve decision making.
Our Machine Learning solutions
4. Our Natural Language Processing (NLP) solutions offer self-learning products/services and operational efficiencies through future-ready applications that understand contextual nuances, multiple languages, industry-specific terminologies, and such, across verticals. Tizbi’s AI team can build new NLP applications or upgrade current ones by adding conversational intelligence.
Our Machine Learning solutions
5. Our Cognitive Intelligence solutions empower clients with visual authentication/verification, as well as, voice and conversational interfaces, that enable clients to deal with their customer queries as they occur.
More Benefits
Our Machine Learning solutions
6. Our Neural Network solutions enhance information processing by training AI models to produce increasingly accurate and sophisticated results.
Our Machine Learning solutions
7. Our Scenario Detection solutions allow organizations to deal with uncertainty by accurately predicting future outcomes and prescribing recommendations that will lead to the best possible results. We empower leaders by providing them with architecture-level understanding and insights about vast real-life situations which allows them to make smart decisions. One way this is possible is by leveraging perspective analysis and informed ‘what-if’ scenarios.
Our Machine Learning solutions
8. Our Text Analytics solutions allow clients to gain valuable insight/information from vast amounts of otherwise unqualifiable data at a granular level. This can be done by gaining insights from consumer desires, needs/wants; enriching content, or removing duplicate/redundant records. For example, have your finger on the pulse of vast amounts of audience feedback in real-time. Insights from such feedback could avert issues and instead deal with problems as they arise.
Our Machine Learning solutions
9. Our Intelligent Forecasting solutions allow organizations to access the predictive power that their data or any other data may hold. The predictive power can then be put to use to stay ahead of the competition or to better understand their industry, local/global markets or their own business in new ways.
Our Machine Learning solutions
10. Our Facial Recognition solutions seamlessly process high/low-resolution video and images with top-notch accuracy to offer valuable insights in a variety of use cases including customer behavior recognition, sentiment analysis, crowd counting, access control, etc. Our facial recognition expertise allows the development of purpose-built solutions that Identify individuals with precision, enhance user experiences by matching needs with products and allowing real-time visual insights.
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