AI [ Artificial Intelligence ]

Artificial Intelligence Development Services

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Artificial Intelligence Development

The main objective of this discipline is to try to recreate technically the human brain and its functions through computer science, neurology, psychology and linguistics. Zazz is very proud that we started working on this technology as soon as companies intercepted the strong benefits of AI Development. Zazz is providing mobile apps having integrated AI. Moreover, we are providing every sort of solutions like web apps, web development, even IoT development by engaging AI technology.

Why Business needs Artificial Intelligence

There is a huge potential of AI in improving everyday comforts. From the autonomous car to automated translation software: both events can be a great relief for consumers. Artificial intelligence can also have a positive impact in areas of public utility, after all machines have a lower error rate than people and their performance is huge. Thanks to the great versatility of intelligent machines, AI is especially promising in sectors such as health and public service.

  • Increased Efficiency
  • Breaks barriers of locations and distances
  • Free workers to perform operational tasks that do not add value
  • It generates more jobs that it eliminates
  • It improves people’s lifestyle
  • Advances in healthcare
  • Extend and expand creativity
  • Work 24 x 7
  • It favors the preventive detection of fraud
  • Analyze a large amount of data

Why Business needs Artificial Intelligence

Speech and Audio

Processing of speech and audio has vast effects in the areas of music, health and education. We have been working on active noise cancellation and digital assistants since inception. We also create technologies to assist therapists in speech treatments.

Machine Learning

Zazz is very fortunate to have an efficient team of machine learning developers. Our expertise in the field has got us a good name in the market and we managed to bring huge achievements’ for our platform, Zazz.

Chatbot

A well-designed chatbot can be incredibly important to promote the company's client interaction. Our built chatbots are flexible and adaptable, offering fresh horizons for enterprises while strengthening customer service.

Deep Learning

Deep learning, known as deep neural networks, is an aspect of AI that emulates the learning that humans use to obtain certain knowledge. What is achieved with deep learning is that the system has less and less margin for error. You can check out our contributions in this sector.

Image Analysis

Generally, in the field of subject matter, automated image analysis refers to a quantitative digital evaluation of the image of a microstructure. It’s the evaluation of metallographic characteristics such as grain size, inclusions, layers and phases and other constituents.

Computer Vision

Computer Vision is the discipline that studies how to process, analyze and interpret images automatically. These techniques have applications in many areas, such as safety, medicine, automatic inspection, or automatic navigation.

Technology Stack for AI Development

IBM Watson

Called after Thomas J. Watson, the first CEO of IBM, the firm is driven by the recent AI innovations. Watson is the open, multi-cloud phase that provides you the opportunity to robotize the lifecycle of AI.

TensorFlow

TensorFlow has made machine learning simpler. Having an ecosystem that supports both developers and clients. With highlights like the Keras Functional APIs, TensorFlow provides you adaptability and control.

Spark

MLlib is set up as an Apache Spark venture function. Talking about the big data ecosystem, there is no such program as Spark that provides you with the usefulness as well as the velocity and efficiency needed.

Keras

Our era offers countless profound learning platforms. There is no comparison, however, with Keras that excels in offering open source neural library to developers.

Mahout

Mahout is an open source venture that is utilized for making versatile AI calculations. The calculations of Mahout are composed over Hadoop, so it functions admirably in circulated condition. It utilizes the Hadoop library to scale adequately in the cloud.

DL4J

Deeplearning4j is a profound picking up programming library composed for Java and the Java virtual machine. It provides a figuring system with wide help for profound learning calculations. No doubt, it’s a modern and one of the swift tool for ML.

Microsoft Azure

Microsoft Azure is a distributed computing administration made by Microsoft for structure, testing, conveying, and overseeing applications and administrations through Microsoft-oversaw servers.

PyTorch

PyTorch is a logical registration package based on Python that utilizes the intensity of units handling models. It is also one of the favorite phases of deep learning studies worked to offer maximum adaptability and velocity.

H2O

H2O.ai is located in California's Mountain View and provides a suite of Machine Learning phases. The core quality of H2O is its high-performance ML components, strongly integrated with speed and usability.

DMTK

DMTK is a parameter server scheme with a lot of data about a group of computers to prepare AI models. It deals with the storage and activity of data, between the operation and the correspondence between strings.

Artificial Intelligence Development

Artificial Intelligence optimizes production

The industrial companies of all sizes have already integrated the AI in their process of production. It is now found in particular in machines and in planning software. AI is one of those elements that shape the industry of tomorrow, Industry 4.0.

The benefits are colossal since, according to a study, the productivity of these companies could well increase by 40% by 2035. Production is optimized thanks to machine learning, which allows robots to perform all kinds of calculations in real time to adapt the rate, increase the machine occupancy rate, support an operator on the production line, and manage stocks. Optimally… AI accelerates production, increases productivity, cuts costs and delays.

Better commercial performance

By integrating AI into CRMs, service and product sales companies benefit from better commercial and financial performance. Future versions of CRM such as Salesforce will allow salespeople, marketing and digital managers or managers to achieve and exceed their objectives. Keith Block, one of Salesforce executives, believes that “AI should deeply affect the CRM market by providing employees with unprecedented productivity, and by giving organizations the opportunity to deliver better experiences to their customers." For companies adopting these technologies, it is therefore essential to create new programs aimed at developing the skills of their workforce so that they are ready for the innovations of tomorrow. "

The research firm IDC is even working on an increase in business revenues of more than 1 trillion dollars by 2021 thanks to the use of AI in these software. Employees will be more productive, convert prospects more effectively into customers, retain them more efficiently, sales cycles will be shortened ... Such an increase in business revenues would, according to IDC, create jobs with more than 800,000 additional jobs.

An improved customer relationship

One of the most well-known facets of AI today is chatbots. These conversational robots are already present in many websites, merchant or non-merchant. Their interest is multiple: it guides the customer in its navigation, its search for information or products, it replaces the customer service 24/24 and 7/7… Chatbots are able to bring a tailor-made and immediate response to a wide range of requests. The bottom line is greater customer satisfaction. And therefore an improved customer relationship for the company with the advantage of being able to strengthen its positions on its market or even to take the lead.

A better quality of life at work

The phenomenon of turnover and that of burnout have become two major issues for companies. Employees who give up too much stress or face too much workload give up. AI generates an ideal response in this context.

The voice assistants embedded in solutions such as Microsoft's Cortana, Apple's Siri and Google Assistant to name a few, are positioned as real personal assistants for the employee. These bots facilitate, speed up and automate many tasks. They can help him find the right content, translate a text, find information of all kinds, write faultless emails and more quickly, launch different operations simultaneously. As many actions which relieve the employee, relieve him of time-consuming tasks, improve his efficiency. And participate in making him feel good at work.

But AI also aims to significantly improve collaboration and workflows in the company. Collaborative platforms abound: Slack, Trello, Google Hangouts Chat, Microsoft Teams, Cisco Spark, and Jive…. These applications with AI are specially designed so that everyone can exchange work effectively remotely and as a team via their PC, mobile or tablet. These tools improve exchanges and relationships, making everyone's work smarter. These collaborative applications thus allow better communication within the company, a better level of professional and human relationships.

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