Amplified Intelligence For Enterprises
Organizations are increasingly leveraging Artificial Intelligence (AI) and Machine Learning (ML) to transform every aspect of their business. Whether you are developing cutting-edge AI & ML platforms or consuming them, Wiz Tech, with its deep knowledge of the AI & ML space and established processes, can partner with you in your digital transformation journey. We support enterprises with strategy consulting, project implementation, and managed analytics across these areas. We have the expertise and ability to strategize and execute artificial intelligence services, integrated with cognitive technology to support your legacy business applications and provide a full spectrum of services including User Behavior Analytics, Advanced Business Analytics, Big Data Analytics, NLP, Deep Learning, and more.
How we do it?
Understand
Images, audio, video, and unstructured text are among the types of data we examine and comprehend.
Reason
To achieve the required results, our problem-solving approaches include appropriate planning, reasoning, inference, and simulations.
Learn
For enhancing subject-matter expertise and reaching the objectives of your applications and systems, we use machine learning methods.
Interact
It's useful for creating next-generation interfaces, such as chatbots that communicate with people.
Accelerate Business Transformation with our AI Services
Check the security posture of your product and take proactive and preventive measures against cyber-attack and fraud; adhere to all industry-standard and governmental regulatory compliances relevant to your business.
Price Optimization
Use predictive analytics to segment products; build a price recommendation engine; or generate store-specific reports.
Data Governance
Effectively manage, maintain, integrate, and secure your data efficiently by leveraging our end-to-end data governance services
Location-based Targeting
Ensure meaningful interactions with your target customers and prospects within a defined geographical boundary and time zone.
Smart Datacenter Operations
Automate the alerts & logs of an IaaS application in a data center, and those of an IoT-ized smart city command center, and more.
Our AI Key Offerings
AIOPS
Build, deploy, and manage enterprise-class infrastructure to facilitate smooth AI integration; apply intelligent data insights to automate and enhance your IT operations, deploy AI solutions by leveraging DevOps; and more.
Data Quality Analysis
Data quality & data harmonization plans; univariate and multivariate analyses; data governance rules analysis & data transformation workflow; data management requirements gathering; evaluation of data cleaning tools; and more.
AI Workload Management
Incorporate AI & ML algorithms into your IT processes for optimal resource allocation, reduced downtimes, and faster query resolution.
Bots, AI & Platforms
Bots strategy, platform & web development, cloud hosting, predictive expenses, data monetization platform, and more.
Data Engineering
Data strategy & roadmap, data modeling & architecture, reporting & dashboards, data integration, data security, and more.
Data Science
Predictive analytics, recommendation engines, visual analytics, statistical modeling, technology stack standardization, and more.
Wiz Tech's Domain Expertise
Artificial Intelligence and Data Science project methodology is significantly different from traditional research for software delivery projects.
It requires companies to:
- Develop new data science and AI skills (such as NLP, computer vision, machine learning, deep learning, etc.)
- Build new infrastructure for big data and model deployment (often cloud based)
- Adopt new culture of collaboration between the business and data scientists
- Wiz Tech can help to bootstrap AI capabilities, or fill data and analytics gaps for companies that do not have the expertise internally or do not want to hire new talent until the benefits of AI are proven.
Wiz Tech focuses not only on research, but also on delivering end-to-end solutions starting with solution design and ending with deployment of ML-model and integration into the existing or newly developed client environment.
