Technology both improves and harms environmental sustainability. It’s is a double edged sword. While emerging technologies such as Al, loT, AR/ VR and others are being used to help achieve sustainability goals, these technologies when put into mainstream adoption will leave a hefty environmental footprint.

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What’s inside

1. The urgent need for sustainable technology
2. A framework for sustainable technology in datacenters
3. Implementing our sustainable technology framework
4. Sustainable technology maturity model
5. Bringing it all together

The urgent need for sustainable technology

If we continue on our current trajectory, datacenters will leave a huge footprint on our planet. Data centers contribution to Co2 Emissions will go up 12X by 2030 and their consumption of water will go up 17X in the same time. Needless to say, they will be huge contributors to E-waste in landfills.

A framework for sustainable technology in data centers

We have developed a framework based on the IT lifecycle consisting of a stack of building blocks. We believe this framework will help facilitate a comprehensive and structured implementation of a Sustainability strategy within the data center.It is quite intuitive and easy to identify potential actions that can be taken and what their impact would be. Download Complete Research

Implementing our sustainable technology framework

As organizations move with sustainable strategies, we highlight key insights that will help drive these strategies. We also identify metrics that can be used to measure progress.

The maturity model

We have painstakingly built a 5-level maturity model that can be used as a guideline to assess where the organization stands. We also give insights on what would be required to move to the next level.

Bringing it all together

We finally put this all together to see how organizations should approach their Sustainability journey.

Credits
Author@lab45: Hussain S Nayak, Sujay Shivram, Chandan Jha
Author@Wipro: Susan Kenniston

Healthcare transforms with a focus on accessibility, prioritizing IT, the global market is projected at USD 975 billion by 2027. AI and machine learning, expected in 90% of US hospitals by 2025, streamline chronic condition diagnoses. Emerging technologies drive change, influencing preventive and home care in the healthcare landscape.

What's inside

1. Key takeaways
2. Key drivers shaping trends in healthcare
3. Business trends driving innovation
4. Technology trends aiding the business

Key takeaways

Healthcare IT is a top priority for providers. Nearly 80% of healthcare providers consider it one of their top 5 strategic priorities, with investments in software including revenue cycle management, security and privacy, patient intake/flow, clinical systems, and telehealth. AI, ML, and IoMT are rapidly developing and expected to be used in 90% of US hospitals by 2025. The global mHealth apps market is growing, primarily driven by the adoption of fitness and medical apps. Technology can improve patient care, reduce medical errors, and expand hospital boundaries. However, data interoperability and regulations are necessary, and patient engagement is crucial for a better healthcare system. Download Complete Research

Key drivers shaping trends in healthcare

Empowering customers through GenAI

• Patient centricity is a top priority as patients now expect a satisfying healthcare experience, like what they receive in other industries. With technological advancements, it is now feasible and cost-effective to meet these expectations and provide patients with a superior experience.
• Healthcare data is vital for informed decision-making, and data integration is necessary to enable seamless sharing of information between healthcare providers. Seamless integration is vital for seamless patient care, coordinated care delivery, reducing errors, enhancing patient outcomes, and promoting a holistic approach to healthcare.
• Preventive healthcare is gaining importance as it reduces costs, improves quality of life, promotes early detection, and aligns with advancing healthcare technologies and government policies.

Business trends driving innovation

• The COVID-19 pandemic has accelerated the adoption of telehealth and telemedicine, leading to a significant growth of the global telemedicine market size.
• Retail healthcare services are gaining popularity due to their convenience and accessibility.
• However, the healthcare industry is facing challenges related to data security, cyberattacks, and lack of standardization, which can be tackled by upgrading cybersecurity infrastructure, conducting risk assessments, and complying with regulatory standards.
• mHealth apps are transforming healthcare by providing easy access to health monitoring, medication management, and wellness, while personalized medicine uses an individual's genetic profile to inform disease prevention, diagnosis, and treatment.
• The use of AI-driven data interoperability is transforming healthcare data exchange, and regenerative medicine is encouraging regeneration and repair of damaged tissues and organs.
• Population health management involves analyzing healthcare data to monitor and enhance the health of each person within a population.
• These healthcare trends impact various stakeholders, including doctors, nurses, patients, pharmacists, and healthcare administrators.

Technology trends aiding the business

• Artificial intelligence (AI) is transforming healthcare by analyzing patient data, developing new drugs, and improving diagnoses.
• The global AI market for healthcare is projected to reach a significant amount by a certain year.
• Nanotechnology promises to revolutionize healthcare by enabling precise diagnosis, targeted drug delivery, and enhanced treatment options.
• The Internet of Medical Things (IoMT) and wearable devices are becoming increasingly popular for real-time monitoring, diagnosis, and therapy delivery.
• Robotics, digital twins, virtual reality, health data analytics, and gene editing are also promising in improving healthcare.
• However, ethical concerns regarding gene editing must be addressed, and regulatory frameworks must be updated to ensure responsible use

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Credits
Lead Authors@lab45: Anju James
Contributing Authors@lab45: Hussain S Nayak

AIoT is a revolutionary blend of AI and IoT that creates a connected world with limitless opportunities. Smart devices can collaborate to make informed decisions without human intervention, transforming various industries. As AI and IoT converge, their applications will become more advanced, presenting new prospects for businesses and consumers.

What's inside

1. Insights and technology trends
2. Overview, benefits, and architecture
3. Use cases, challenges and key players
4. Enterprise AIoT adoption strategy

Insights and technology trends

1. AIoT enables devices to become smarter and more autonomous by analyzing massive data streams in real time and making informed decisions based on that data. They are expected to become more personalized and intuitive by implementing self-learning algorithms, providing real-time solutions. 
2. Fast, reliable connectivity ensures seamless user experience and data exchange, allowing AIoT systems to respond and act promptly.As cybersecurity technology advances, users gain confidence in the security of AIoT systems.
3. AIoT can contribute to sustainability initiatives through intelligent monitoring and control systems.
4. Integrating new technologies in AIoT systems has become an essential component in the future of enterprises and individuals. Key Technology Trends include:  Secure Access Service Edge (SASE), Nanotechnology, Multiplicity, Contextual Proactivity, Seamless Multi-Modal Interaction, Brain- Computer Interfaces.

Overview, benefits, and architecture

AIoT combines sensors, AI, data and ambient computing elements to create a responsive, context-aware environment. It uses embedded devices and natural user interfaces to provide services based on detected requirements and user input.

AIoT can revolutionize how users interact with technology, offering greater convenience and seamless connectivity. The benefits include: intuitive and seamless experience without commands, automated decision making, efficiency and convenience.

While creating an AIoT system, a well-balanced architecture is crucial to manage data processing speed and costs. There is a flow of information in the system based on the external inputs, that ultimately results in a response based on analysed data points by AI and ML algorithms. Download Complete Research

AIoT adoption – Connected enterprise strategy

The 5 step enterprise strategy include the following:

1. Define AIoT Vision, scope, goals and objectives
2. Assess IoT Capability, identify AIoT devices & systems
3. Define Connected enterprise System Architecture
4. AIoT System Development & Pilot implementation
5. Enterprise - wide implementation

Use cases, challenges and key players

Use Cases for following domains are discussed:

• Manufacturing: Employee safety, Inventory management, Collaborative robots (Cobots), AI-driven product design
• Smart Homes: Home Security, Health and Wellness, Child and Elderly Care, Home Automation
• Healthcare: Predictive Healthcare, Smart Wearables
• Automobile: Autonomous Vehicles, Smart Traffic Management, Connected Car Services
• Retail: Smart Shelves, Customer Experience, Ambient Commerce
• BFSI: Fraud Detection, Personalized Financial Services

Implementing a complex system like AIoT requires careful planning, collaboration, and attention to detail. Data management, privacy concerns, and integration with various systems can pose significant obstacles to successful implementation.

The AIoT space is dominated by key players such as IBM, Microsoft, Siemens, GE, Cisco, Huawei, ABB, Bosch, SAP, and Honeywell. Download Complete Research

Credits
Author@lab45: Anju James
Contributing Authors@lab45: Hussain S Nayak, Nagendra Singh