Thought Leadership

Read articles written by the leaders of Grene Robotics here.

Autonomous solutions hold the key and how

By adopting automation, retailers can provide a better experience for customers, and can also make serious reductions in cost. Autonomy is providing retailers with powerful

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.

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. 

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.

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.

HyperAutomation: An existential prerogative for organizations

HyperAutomation as the name suggests, implies removing people from the process and putting them on the process. The need to have the perfect infusion of Artificial Intelligence, Machine Learning, and Autonomous Technologies to drive greater efficiencies has become business-critical for all industries. 

The Web of Indrajaal

Fighting intrusion by protecting 2000 sqkm from a single node. The last year saw some lethal drone attacks happening in the Indian periphery and even abroad. The drones dropped high grade-explosives damaging the roof of a building and injuring personnel on duty. This was a clear indication towards an ominous future that would be employing Unmanned Aerial Systems (UAS), autonomous weapons systems as new modes of attack strategy.

An obituary to ERP in an AI world

The beginning of unified, autonomous and real-time systems was the final nail on ERP’s coffin. Enterprise Resource Planning (ERP) breathed in its last few breaths in the last five years. Some want to believe it still hasn’t happened. The naysayers are the ones who are adamant that Autonomous Systems are yet to overtake or replace traditional ERP – and they may not be entirely wrong. ERP continues to live in our hearts. After all, it continues to be a hurdle for IT leaders and businesses, be it design, implementation, lifecycle management or value realization. ERP, in its youth, failed to solve the problems that it was actually designed for. It was not ERP’s failure alone, we perhaps, failed to utilize its full potential. To add to ERPs perplexity, advancements in business models meant, more complex systems and processes, that required data camaraderie, which just wasn’t in its design. Furthermore, ERP implementations are challenging, especially when the organization’s goals and software quality do not match. In a nutshell, the marriage wasn’t just meant to be!

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