Grene Robotics selected among top 10 defense & aerospace startups by StartupLanes

Grene Robotics selected among top 10 defense & aerospace startups by StartupLanes

Grene Robotics is focused on creating the world’s foremost technological breakthroughs that unlocks the power of Human-Machine collaboration so that we can liberate humans to focus on humanity and machines can master creativity, curiosity, complex decision making and empathy. GreneOS will unify people, machines and systems. It will automate processes and integrate systems on top of which autonomous applications are built for intelligent decision making for organizations globally.

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3 ways automation can save the retail industry from recession

3 ways automation can save the retail industry from recession

The world we live in is led by consumerism. Be it necessities of life – food, shelter, clothing – or materialistic pleasures, consuming things, products and services has influenced human behaviour and driven the global economy for years, making the retail industry one of the most sought-after places to be. The global retail market is expected to grow at a CAGR of 7.7% from 2020 ($20,331.1 billion) to reach $29,446.2 billion in 2025, and $39,933.3 billion in 2030, at a CAGR of 6.3%.

What drives this industry is the constant need to create more options and fulfil human desires. Yet, despite the size and share of the retail industry, it suffers due to the lack of technological advances, problems like recession, and a dearth of skilled labour.

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AI for forest conservation

AI for forest conservation

Often we read news about wild forest fires that burn down entire landscapes causing immense damage to the environment, animal life, human lives living in the vicinity and, of course, the climate at large. In the last decade, 36 per cent of India’s forest cover has been under the radar of catastrophic forest fires. While the fire is just one part of how forests are shrinking, deforestation, man-animal conflict, poaching, and developing villages and townships in and around the forest area are some of the many other reasons for forests to be in trouble. 

Traditionally forests were under the surveillance and supervision of the local and tribal people who took pride in taking care of the land. But, with the changing environment and developing economy, they have been unable to keep up and foresee circumstances. Even forest authorities and officials have been unable to keep mishaps at bay, and it is unreasonable to even expect a few people to collectively manage and monitor such a huge forest. It is humanly impossible. 

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Bridging the digital confusion in organizations

Bridging the digital confusion in organizations

Here’s a common scenario in an organization – meetings and more meetings are called to decode the Digital Transformation buzzword! But each time executives leave the boardroom thinking they understand what needs to be done, they end up misunderstanding each other.

The biggest problem with this communication breakdown is that without a common and clear understanding of what “transformation” is, it’s very challenging to come up with pragmatic solutions!

According to Blissfully’s research, small organizations (with 1 to 10 employees) use an average of 26 applications, while large organizations (with 251 to 1,000 employees) use 124 applications on an average or more!

We call this Digital Confusion

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Autonomous enterprises shaping human experiences

Autonomous enterprises shaping human experiences

The need to become an autonomous digital enterprise is pressing now, more than ever. From how we do the work to who is doing the work is changing at a rapid rate. For most enterprises, the future will be autonomous, else they’ll become inconsequential. Machines will deliver services that are auto-compliant, self-healing, self-learning and self-aware, helping organisations make precision-level decisions based on data.

What is an autonomous enterprise?

Autonomous enterprises or self-driven enterprises are those organizations that apply artificial intelligence and automation to solve problems of operations and management. They require minimal human intervention to complete daily jobs that a robot/system can very efficiently do.

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