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Artificial Intelligence | Solve real world complex problems

2 minutes, 14 seconds read

Artificial Intelligence may be a concept unknown to a majority of consumers, but we unknowingly using AI in our everyday life. How? What about the smartphones with Google now and Siri, they help find information for you when you need it.

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With real-time problem solving skills the only thing you have to worry about are your goals as you can leave the assistance to a computer that can think on it’s own but for your benefit. Many intelligent brains working in Artificial Intelligence to make our life comfortable. If you could have someone looking over your day to day needs it’s rather easy to focus on more important things in life. Implementing AI into our lives has been studied for years and now things are getting more real and Mantra Labs is well invested into it.

From consulting on niche technologies, to completely owning your AI initiative – Mantra Labs help you solve complex real world problems, leveraging their expertise in various aspects of AI.

Data Science: It is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies.

Natural Language: Natural Language Processing (NLP) refers to AI method of communicating with an intelligent system using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like a robot to perform as per your instructions, when you want to hear a decision from a dialogue based clinical expert system, etc.

Machine Learning: It is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

• Integrations: Most artificial intelligence systems involve some sort of integrated technologies, for example, the integration of speech synthesis technologies with that of speech recognition.

Deep Learning: Deep learning refers to artificial neural networks that are composed of many layers.  It  is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data by using a deep graph with multiple processing layers, composed of multiple linear and non-linear transformations

• Computer Vision: It is the science that aims to give a similar, if not better, the capability to a machine or computer. Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images.

Making an approach to pursue the most advanced technology takes a lot of innovation and it is exactly what Mantra Labs has been doing.

If you are keen to solve real world problem using AI, Drop us a line hello@mantralabsglobal.com

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Enterprises investing in Workplace Mobility Can Survive Pandemics

4 minutes, 21 seconds read

Nearly one-third of the global population is under coronavirus lockdown. Large-scale quarantines and travel restrictions are posing challenges for businesses to continue their operations. While workforce protection remains the top priority for enterprises, prolonged isolation is an eye-opener to adopt workplace mobility.

As the world continues to fight the pandemic, flatten the curve and try to maintain normalcy by working from home — teams everywhere are trying to stay productive so that daily operations can continue to some degree. But this is not an easy task. By working remotely, there are a lot of challenges especially in communication and connectivity, not to mention challenges with remaining productive throughout the day. 

There was a time when mobility at work was considered a perk. Today, almost everyone, at some point, agrees that flexibility and liberty to work from home is essential. The 2020 Enterprise Mobility Trends Report anticipates that 42% (18.7 billion) of the global workforce will embrace mobility by 2020.

The need for workplace mobility

Workplace mobility empowers people to work from anywhere, at any time and from any device. It directly impacts employee productivity as well as the speed to execute business processes. How?

Dan Ariely, in his book Predictably Irrational, categorizes human behaviour in lines with the market and social norms. Market norms apply a monetary value to every transaction — salaries or payments against skill/talent. Whereas, social norms rely on the exchange of gifts, kindness, favour, etc. and is far away from any monetary transaction. 

While stringent work policies tend to inculcate market norms (skills are calculated against salaries), flexibility instils social norms (empathy and concern). People are willing to do more on their free-will.

In this 24/7 work environment social norms have a great advantage: they tend to make employees passionate, hardworking, flexible, and concerned. In a market where employees’ loyalty to their employers is often wilting, social norms are one of the best ways to make workers loyal, as well as motivated.

– suggests Ariely

How apps and AI-driven mobility solutions for employees can keep businesses operationally afloat?

By 2025, the number of unique mobile subscribers is projected to reach 5.9 billion. Market researchers also anticipate that there’ll be nearly 25 billion IoT devices, most of which will comprise business-related connected devices. However, it’s not just handy devices that are enabling mobility at work. Technologies are also empowering businesses to readily adopt mobility. 

For instance, Google has introduced a deck of enterprise mobility solutions. It provides cloud support to collaboration apps and management tools. Apart from G Suite, Google has invested in android and chrome platforms to support workplace mobility. 

Workplace mobility apps and features

Many organizations require time logs to ensure overtime and bonuses. Apps like SecurTime provide a cloud-based time-attendance workforce management solution with real-time tracking. It seamlessly integrates with payroll/HRMS and biometric systems without any dependency on hardware.

When people work remotely, creating a virtual collaborative environment can concern businesses. While email is the channel for all formal communication, it’s usual to lose track of conversations in emails and messengers. To organize work and priorities at the team level, Slack and Trello are popular apps.

Organizations with in-house software development teams often face hassles while planning, tracking, resolving bugs & issues and releasing products. Jira — an agile project management tool helps organizations to track every phase of product development and team progress irrespective of their physical location.

AI-driven enterprise mobility solutions

Mobile devices and cloud platforms are making it easier for teams to collaborate and deliver. Moreover, employees save substantial time on travelling, which gives them time to indulge in activities that foster creativity. 

Gartner predicts that by 2021, 40% of new enterprise applications will include AI technologies. So far, the adoption of AI was seen in consumer-facing operations to enhance customer experiences. Now, organizations are also focusing on enhancing employee experiences. For example, leading organizations are using NLP-powered chatbots for handling employee-queries regarding leave, work from home intimation, business-travel, etc. 

[Related: AI in recruitment and discovering talent]

Technology can equip employees with information at hand. AI solutions like Zelros provide instant information to Insurance sales advisors regarding products, clients, etc. 

AI-powered applications are becoming more human-centred and they can execute commands without touching/pressing a button. For example, with gesture recognition technology and voice user interface, simple tasks like sharing a file, reading a report, etc. can be done while driving, spending time with kids, evening walks, etc. removing dependencies that delay work.

[Related: How does AI recognize hand gestures]

The use of AI is evolving to automatically prioritize problems and send notifications to the concerned departments. SVM (Support Vector Machine) and CNN (Convolutional Neural Network) are machine learning algorithms for building classification models.

The bottom line

While one can prevent wars, natural calamities and pandemics are unavoidable. In the current context, the heat of the Corona outbreak is severely impacting industries including aviation, e-commerce, education, tourism, entertainment, hospitality, electronics, consumer and luxury goods. Businesses are thriving to remain operationally afloat. 

Embracing mobility at work today can prepare organizations for tomorrow’s pandemic resilience. 

Mantra Labs is helping enterprises invest in building their pandemic resilience by planning and scaling their mobility infrastructures, and enable greater use of mobility as a service. Talk to us today to know how we can help you, or reach out to us at hello@mantralabsglobal.com.

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