DEV Community: Sejal Jansari

From Zero-Trust to Quantum-Safe: The Next Big Shifts in Cybersecurity

Sejal Jansari — Thu, 31 Jul 2025 11:26:53 +0000

Cybersecurity has always been a game of adaptation. Just when we think we’ve built strong enough walls, attackers find new ladders. In recent years, concepts like Zero-Trust architecture have reshaped how organizations defend their digital assets. But as technology evolves, so do the threats and the future points toward an era where quantum computing and advanced cyber weapons will force us to rethink security all over again.

What is Zero-Trust, and Why Did It Change the Game?
Zero-Trust is based on one simple but powerful idea: “Never trust, always verify.”
In traditional security models, anything inside the corporate network was trusted by default. But with cloud adoption, remote work, and the explosion of SaaS apps, the “perimeter” dissolved.
Zero-Trust flipped the script by:

Authenticating every user and device.
Applying least-privilege access only granting what’s absolutely needed.
Using continuous monitoring instead of one-time checks.

This approach has become the backbone for modern cybersecurity, especially for enterprises with distributed teams and sensitive data.

The Quantum Threat Is Coming:
While Zero-Trust addresses how we authenticate and verify users, quantum computing will challenge what we use to secure data.

Here’s why it matters:

Most encryption today (RSA, ECC) relies on problems that are practically impossible for classical computers to solve in reasonable time.
Quantum computers could solve these problems in minutes, making today’s encryption obsolete.

This looming reality has given rise to post-quantum cryptography (PQC) algorithms designed to withstand quantum attacks. Big players like NIST are already standardizing quantum-safe encryption methods, and tech giants like Google, IBM, and Microsoft are racing to implement them.

The Next Big Shifts in Cybersecurity

1. Quantum-Safe Encryption Becomes a Must-Have

Companies will need to migrate to quantum-resistant algorithms well before quantum computers become mainstream. Waiting until the “Q-Day” when quantum machines can break encryption — will be too late.

2. AI as Both Weapon and Shield
AI is already used to detect anomalies and predict attacks. But attackers are also using AI for deepfake phishing, automated exploits, and adaptive malware. This will spark an AI “arms race” in cybersecurity.

3. Identity Becomes the New Perimeter
Zero-Trust will evolve into “Continuous Trust” where not just initial logins but ongoing behavior and context determine access.

4. Regulations Will Tighten
Governments will enforce stricter cybersecurity frameworks, mandating quantum-readiness and deeper risk assessments for businesses handling sensitive data.

Preparing for the Future: What Should Businesses Do?

Adopt Zero-Trust if you haven’t already. It’s no longer optional.
Track quantum-safe encryption standards and work with vendors preparing for PQC.
Invest in cybersecurity awareness people are still the weakest link.
Leverage AI-powered security tools while understanding their limitations.

Final Thoughts

Cybersecurity isn’t standing still. The leap from Zero-Trust to Quantum-Safe security represents one of the biggest shifts in digital defense since the internet began. Businesses that start preparing now will avoid being blindsided when the quantum era and its risks arrive.

The future belongs to those who treat security not as a checkbox, but as an ever-evolving strategy.

The Attention Economy Is Breaking Us

Sejal Jansari — Wed, 09 Jul 2025 11:00:59 +0000

"If you’re not paying for the product, you are the product.”

We’ve all heard this before, but it hits harder when you realize how true it really is. Every scroll, every click, every pause of your thumb is tracked, measured, and monetized. Welcome to the Attention Economy, a world where your focus is the currency and big tech is cashing in.

But here’s the problem: while companies grow richer from our clicks, we’re left with shorter attention spans, scattered thoughts, and a growing sense of burnout. So the question is how did we get here, and more importantly, how do we take our attention back?

What Is the Attention Economy?

The term refers to the way companies compete for one scarce resource: your attention. From Instagram notifications to YouTube autoplay to TikTok’s infinite scroll, everything is engineered to keep you glued to the screen. Why? Because the longer you stay, the more ads you see, and the more money they make.

Social platforms, news sites, even productivity apps they’re not just tools. They’re environments designed to stimulate dopamine, encourage compulsive checking, and keep your brain in a constant state of partial attention.

Why It Matters
We like to think we’re multitasking masters, but neuroscience disagrees. Constant switching between apps, tasks, and tabs reduces our cognitive performance. It impacts memory, creativity, and even decision-making.

Research shows the average attention span has dropped from 12 seconds in 2000 to just 8 seconds today shorter than a goldfish. This isn’t just a fun fact. It’s a warning sign.

Here’s what’s happening:

We’re less productive.
We struggle to focus on deep work.
We find it harder to be present with people around us.
Anxiety and burnout are on the rise.

How to Reclaim Your Focus
You don’t need to throw your phone in a river or move to the mountains. But you can build a better relationship with technology. Here are some strategies that actually help:

1. Audit Your Digital Life
Use tools like Screen Time (iOS) or Digital Wellbeing (Android) to see where your time is going. You’ll be surprised how much of your day is eaten by mindless scrolling.

2. Turn Off Non-Essential Notifications
Notifications are designed to interrupt you. Turn off anything that doesn’t truly require your attention in real-time.

3. Set App Limits and Downtime
Apps like Forest, Freedom, or One Sec can create friction between your urge and the action. Sometimes, even a 5-second delay is enough to break the habit loop.

4. Use Your Home Screen Intentionally
Keep only essential tools (like calendar, notes, camera) on your home screen. Hide social apps in folders. Out of sight = out of mind.

5. Create No-Tech Zones
Make your bedroom and dining table sacred spaces. No phones. No exceptions. Reconnect with yourself and others.

6. Embrace Boredom
Let yourself be bored. Boredom is where ideas come from. It’s the birthplace of creativity.

Final Thoughts

We live in a world designed to fragment our attention. But it doesn’t have to be this way.

By becoming aware of how the attention economy works and making a few mindful changes we can start to reclaim our time, focus, and peace of mind. Your attention is valuable. Don’t give it away so easily.

The next time your thumb hovers over that app out of habit, pause. Breathe. And ask yourself: Is this how I want to spend my life?

How to Manage Your Vacation Booking

Sejal Jansari — Fri, 09 May 2025 09:59:23 +0000

Managing vacation at scale isn’t easy. Between multiple booking platforms, fluctuating pricing, guest communication, and calendar conflicts, property managers often find themselves juggling too many tools and manual tasks.

The good news? With the right technology especially an API-driven solution like Elivaas you can streamline your entire vacation rental operation, reduce overhead, and scale your business faster.

The Challenges of Vacation Booking Management
Managing vacation rentals isn’t as simple as it seems. The primary challenges include:

Multiple Platforms: Managing bookings from Airbnb, Booking.com, and direct reservations simultaneously.
Overbookings: Risk of double-booking properties or missing bookings.
Pricing Complexity: Manual pricing updates and inconsistencies across platforms.
Guest Communication: Keeping up with inquiries, requests, and providing timely updates.

These challenges can create a lot of stress for property managers and owners, often leading to errors, customer dissatisfaction, and lost revenue.

Elivaas API: A Game-Changer for Vacation Booking Management
To truly streamline your vacation booking management, you need a reliable, automated solution that connects all the dots. Elivaas API integration offers a powerful set of tools designed to handle booking management, pricing updates, calendar synchronization, and more—all from a centralized platform.

How Elivaas Can Help You Manage Vacation Bookings:

1. Real-Time Calendar Synchronization
Forget about manually updating availability across multiple platforms. With Elivaas, your calendars are automatically synced across all booking platforms in real-time. This ensures that your properties are never overbooked and that your guests always have accurate availability information.

2. Dynamic Pricing Automation
Managing fluctuating prices can be time-consuming and complex. Elivaas API automates your pricing strategy, adjusting prices in real-time based on demand, seasonality, and competition. This helps you maximize revenue without having to manually adjust rates across each platform.

3. Centralized Booking Management
Whether it’s a new reservation, cancellation, or modification, Elivaas consolidates all bookings into one dashboard. This makes it easier to manage reservations, track status, and ensure everything is up-to-date with minimal effort.

4. Integrated Guest Messaging
Managing communication across multiple channels can become a mess. Elivaas API enables you to send and receive messages from all your booking platforms in one place. This simplifies guest communication and ensures you never miss a message.

5. Real-Time Booking Notifications
Stay on top of every booking with Elivaas' real-time notifications. Receive alerts when a new booking is made, or if there are any changes, ensuring you can act quickly to confirm or address any issues that may arise.

Who Benefits From Elivaas API Integration?

Vacation Rental Managers: Keep track of bookings, rates, and guest communication without juggling multiple platforms.
Property Management Companies: Automate and scale your business without the overhead of manual coordination.
**SaaS Platforms for Property Management: **Integrate Elivaas’ capabilities into your own platform to offer a seamless experience to users.
Independent Property Owners: If you manage a few properties, Elivaas provides the tools you need to optimize bookings without the complexity.

Final Thoughts

Managing vacation bookings doesn't have to be stressful or time-consuming. By integrating the Elivaas API, you gain the tools necessary to automate key processes, sync calendars across platforms, manage dynamic pricing, and streamline guest communication—all in one place.

With Elivaas, you can scale your vacation rental business efficiently, ensuring that both you and your guests have a smooth, hassle-free experience. The future of vacation booking management is here, and it’s powered by intelligent, automated APIs.

The Pulse of Health: How Wearable Tech is Transforming Personal Well-being?

Sejal Jansari — Mon, 03 Feb 2025 07:39:45 +0000

Wearable technology is transforming healthcare by empowering individuals to monitor their health in real time. As these devices continue to evolve, they are becoming indispensable tools for managing personal well-being, providing insights that were once exclusive to healthcare professionals.

By 2025, the global market for wearable medical devices is expected to reach $30 billion, fueled by technological advancements in AI, sensors, and data analytics. With over 1.1 billion wearable devices already in use worldwide, it's clear that this trend is not just growing—it's reshaping how we approach healthcare.

From fitness trackers to life-saving medical monitors, wearable devices are no longer just an accessory—they are essential to proactive health management. Curious about how these devices work and how they can revolutionize your healthcare routine? Keep reading to discover the top wearable tech devices that are making waves in personal health.

Source: Allied Market Research

From Predictors to Health Guardians

The concept of wearable technology can be traced back to the 1960s, with the creation of the first wearable computer designed to predict roulette outcomes in casinos. Over the decades, wearables evolved, moving from niche innovations to consumer-friendly devices. The 1980s saw the rise of the first heart rate monitors for athletes, while the early 2000s introduced fitness trackers like Fitbit. Today, advancements of AI in healthcare , IoT, machine learning, and miniaturized sensors have transformed wearables into comprehensive health tools capable of tracking everything from heart rhythms to glucose levels, bringing healthcare closer to individuals than ever before.

Top 10 Wearable Devices Transforming Personal Healthcare

1. Apple Watch Series 9

The Apple Watch Series 9 is a powerhouse of health-monitoring capabilities, seamlessly combining convenience with advanced medical-grade technology. It has become a symbol of wearable innovation, offering users an all-in-one device for tracking their health and staying connected.

Technology Used: The smartwatch utilizes a dual-core S9 chip for fast processing, along with a blood oxygen sensor and electrocardiogram (ECG) functionality. These advanced features allow for detailed cardiovascular monitoring and real-time insights into vital health metrics.
Type of Device: Smartwatch.
Real-World Use Case: The Apple Watch is widely used to track irregular heart rhythms, oxygen saturation levels, and overall fitness. For individuals at risk of atrial fibrillation or other cardiovascular conditions, it serves as a reliable early detection tool. With its ability to integrate with healthcare apps, it provides a comprehensive solution for daily health monitoring.

2. FreeStyle Libre 3

FreeStyle Libre 3 has redefined the way diabetic patients monitor and manage their condition, making the process more comfortable and efficient than ever before. This wearable is a game-changer for those who rely on accurate glucose tracking to maintain their health.

Technology Used: The device uses continuous glucose monitoring (CGM) technology, combined with Bluetooth connectivity, to send real-time features like glucose readings to a user’s smartphone or connected device.
Type of Device: Glucose monitor patch.
Real-World Use Case: By providing minute-by-minute updates on glucose levels, the FreeStyle Libre 3 allows diabetic patients to adjust their diet, exercise, or insulin intake accordingly. It eliminates the need for painful finger pricks, significantly improving the quality of life for those managing diabetes.

3. Oura Ring 3

The Oura Ring 3 is a sleek, compact, and powerful health tracker that offers in-depth insights into physical and mental well-being. This smart ring has gained popularity for its unobtrusive design and reliable health data tracking.

Technology Used: The ring features infrared sensors, a gyroscope, and temperature sensors that work together to monitor metrics like heart rate, temperature variations, and sleep patterns.
Type of Device: Smart ring.
Real-World Use Case: Oura Ring is particularly useful for individuals looking to optimize their sleep and recovery. It provides detailed insights into sleep stages and overall readiness, helping users make informed decisions about their daily activities and improve long-term health.

4. Sensoria Smart Socks

Sensoria Smart Socks are a groundbreaking wearable for diabetic patients and athletes, combining the benefits of smart textiles with advanced health tracking to address specific physical needs.

Technology Used: These socks are embedded with textile pressure sensors and IoT integration, allowing for precise monitoring of foot pressure and movement.
Type of Device: Smart socks.
Real-World Use Case: Diabetic patients benefit greatly from Sensoria Smart Socks, as they help detect early signs of foot ulcers or pressure injuries. Athletes also use them to monitor their gait and improve their running techniques, reducing the risk of injuries.

5. BioBeat BB-613

BioBeat BB-613 is a revolutionary medical patch designed for continuous remote monitoring of patients, making it a preferred choice in telehealth and clinical settings.

Technology Used: This patch relies on photoplethysmography (PPG) sensors and artificial intelligence to analyze real-time vital signs like heart rate, blood pressure, and oxygen saturation.
Type of Device: Wearable medical patch.
Real-World Use Case: BioBeat BB-613 is widely used in remote patient monitoring programs to track the health of individuals with chronic conditions. It helps healthcare providers gather accurate data and make timely decisions, especially in post-operative care or for patients in rural areas.

6. Muse 2

The Muse 2 is a brain-sensing headband designed to elevate mindfulness and meditation practices. It empowers users to take control of their mental health by providing real-time feedback on brain activity, helping them achieve deeper states of relaxation and focus.

Technology Used: Equipped with EEG (electroencephalography) sensors, the Muse 2 detects brain activity and combines it with other sensors for heart rate, body movement, and breath monitoring.
Type of Device: Brain-sensing headband.
Real-World Use Case: The Muse 2 is ideal for individuals seeking to reduce stress and improve mental well-being. By providing live feedback during meditation, it helps users enhance their focus and develop mindfulness habits, making it a valuable tool for stress management.

7. Owlet Smart Sock Plus

The Owlet Smart Sock Plus is a groundbreaking device designed specifically for infants and toddlers. It gives parents peace of mind by continuously monitoring their child's vital signs while they sleep.

Technology Used: The sock uses pulse oximetry technology to measure heart rate and oxygen levels, transmitting this data to a smartphone app via Bluetooth.
Type of Device: Infant monitoring sock.
Real-World Use Case: Parents can use the Owlet Smart Sock to track their baby's health in real-time and receive alerts for any irregularities, such as low oxygen levels. This is especially beneficial for premature babies or infants with respiratory conditions, ensuring their safety during sleep.

8. Embrace2 by Empatica

The Embrace2 is a wearable device that enhances the safety and quality of life for individuals with epilepsy. Its ability to detect seizures in real time and alert caregivers makes it a life-saving tool.

Technology Used: This bracelet uses electrodermal activity (EDA) sensors, accelerometers, and machine learning algorithms to detect unusual activity patterns in the wearer’s body.
Type of Device: Seizure detection bracelet.
Real-World Use Case: The Embrace2 is particularly effective for individuals prone to epileptic seizures. It detects abnormal physiological signals and alerts caregivers through a connected app, ensuring timely assistance and reducing risks associated with seizures.

9. Spire Health Tag

The Spire Health Tag is a simple yet powerful clip-on device that transforms the way people monitor their stress and breathing patterns. By providing actionable insights, it promotes better physical and mental health.

Technology Used: The device features advanced respiratory sensors and Bluetooth technology to monitor breathing patterns and physical activity levels.
Type of Device: Clip-on wearable tag.
Real-World Use Case: Spire Health Tag helps users identify triggers for stress by tracking breathing irregularities. It provides reminders and tips to practice mindfulness or adjust habits, making it a valuable tool for stress management and relaxation.

10. MOXO Sensor

The MOXO Sensor is a wearable air quality monitor that provides real-time data on environmental factors affecting respiratory health. It’s an essential tool for individuals with allergies, asthma, or respiratory sensitivities.

Technology Used: This device utilizes air quality sensors and Bluetooth connectivity to measure pollutants such as particulate matter (PM2.5) and allergens in the environment.
Type of Device: Wearable air quality monitor.
Real-World Use Case: The MOXO Sensor is widely used by individuals with asthma or allergies to avoid exposure to harmful pollutants. By providing alerts and actionable advice, it helps users make informed decisions about their surroundings to protect their respiratory health.

Challenges in Wearable Healthcare Technology

While wearable technology offers significant benefits, it also presents challenges that need to be addressed. Data privacy in app is a primary concern, as wearables collect sensitive health information that could be misused if not adequately protected. Additionally, the accuracy of some devices may vary, leading to potential misdiagnoses or unnecessary anxiety for users. Accessibility is another challenge, as not everyone can afford or access these advanced devices. To unlock the full potential of wearables, manufacturers, healthcare providers, and policymakers must work together to address these issues and ensure that wearable technology benefits all demographics.

Future of Wearable Technology in Healthcare

The future of wearable technology in healthcare looks promising, with innovations like smart clothing, implantable devices, and advanced biosensors on the horizon. These devices could provide even more precise and comprehensive health monitoring, moving beyond tracking to actively managing conditions. For example, wearable patches that deliver medications automatically or biosensors that detect diseases like cancer in their early stages are already in development. As these technologies continue to evolve, they will play an increasingly significant role in democratizing healthcare and enabling individuals to take control of their well-being.

Getting Started with AI: A Grounded Approach

Sejal Jansari — Tue, 26 Nov 2024 09:50:50 +0000

AI has moved from niche technology to a central focus for businesses worldwide, thanks to recent advancements like Generative AI(Gen AI). While the excitement around AI's potential is growing, widespread adoption remains a challenge. According to CIO Dive, over 60% of organizations face gaps in AI readiness, particularly in infrastructure and data ecosystems.

For businesses using Salesforce, AI adoption is not a distant dream—it’s an achievable goal. Salesforce has been integrating AI into its platform for years, and its newer capabilities, such as Data Cloud and Gen AI, represent transformative opportunities. Let’s explore how you can begin leveraging AI within the Salesforce ecosystem in practical, incremental steps.

Understanding AI in Salesforce

AI in Salesforce broadly involves two types of technologies:

Predictive Machine Learning (ML): Uses data models to forecast outcomes and inform business actions.
Generative AI (Gen AI): Creates new content, like text or images, by learning patterns from existing data.

Key Differences Between Predictive and Generative AI

1. Predictive AI
Purpose: Analyze data to make forecasts
Examples: Lead scoring, sales forecasting, customer churn prediction
2. Generative AI

Purpose: Create new content based on patterns

Examples: Automated email drafting, chatbots, image generation

Salesforce combines these technologies to optimize workflows and enhance customer experiences. However, to effectively use these tools, it's essential to understand how AI models work and how to guide them.

Why “Grounding” Matters in AI

AI accuracy often hinges on how well the model is grounded in context. Salesforce employs three types of grounding to improve AI responses:

1. Field Grounding: Uses specific fields from Salesforce and Data Cloud (e.g., referencing a customer’s recent purchase history).
2. Flow Grounding: Incorporates data tied to a particular process or workflow (e.g., checking order status in response to a customer inquiry).
3. Document-Based Grounding:Pulls unstructured data, such as knowledge base articles, to enrich responses.

By combining these techniques, Salesforce delivers highly relevant and contextual AI outputs that improve decision-making and customer interactions.

Four Steps to Get Started with Salesforce AI

1. Identify and Categorize Use Cases

Start small and build incrementally. Explore Salesforce’s productized use cases for inspiration, such as:

Automating customer support with Einstein Bots.
Generating predictive insights on sales opportunities.
Drafting personalized emails with Gen AI tools.

Combine predictive ML models with generative solutions to address high-value use cases that align with your business objectives.

2. Assess Data Readiness

AI thrives on quality data. Before implementing AI in Salesforce, evaluate:

Data Quality: Ensure your data is clean, consistent, and up-to-date.
Data Accessibility & Integration: Check that your systems can seamlessly share and process data across platforms.

A strong data foundation ensures your AI solutions deliver actionable insights.

3. Plan for Governance

Effective governance minimizes risks and ensures AI adoption aligns with ethical standards. Focus on:

Education: Train your teams to understand AI capabilities and limitations.
Risk Management: Mitigate issues like privacy concerns by implementing safeguards, such as human oversight and explainability.
Compliance: Adhere to data protection regulations like GDPR or CCPA to maintain trust and integrity.

4. Launch a Pilot Program

Start with a manageable pilot program to build momentum and measure impact. For example:

Use Einstein Discovery for sales forecasting.
Implement generative chatbots for customer support.
Experiment with predictive analytics for marketing campaigns.

Define clear metrics to assess AI performance and iterate based on feedback.

A Final Thought

Adopting AI within Salesforce is a continuous journey, not a one-time task. Experimentation and iteration are key to unlocking its full potential. Even small steps, like testing AI tools for personal tasks, can build familiarity and confidence. At work, this mindset allows teams to stay flexible and ready for the constant evolution of AI technologies and applications.

By following a grounded approach, businesses can transform AI from a buzzword into a practical tool that drives efficiency, innovation, and success. Now is the time to start—experiment, learn, and grow with AI in Salesforce.

Agentic AI: The First-Mover's Guide to a New Era of Autonomous Technology

Sejal Jansari — Wed, 20 Nov 2024 07:52:56 +0000

People are eager for agentic AI—but are our systems ready?

Imagine AI that not only assists but makes decisions, acts autonomously, and handles tasks that once required human supervision. "Agentic AI" is more than just a tech buzzword—it represents a fundamental shift in how we work, organize, and make decisions. The potential of this technology to automate complex workflows and add significant value is enormous, but its success will depend on one critical factor that didn't matter as much for generative AI: seamless systems integration.

Table of Contents:

What is Agentic AI?
How is Agentic AI Different from Traditional AI?
The Business Case for Agentic AI
Systems Integration: Risks and Challenges
Agentic AI Solutions
Use Cases for Agentic AI in 2025
The Future of Agentic AI Beyond 2025

What is Agentic AI?

To understand agentic AI, we must first grasp the concept of "agency"—the ability to make independent decisions. Like an adult who takes full responsibility for their actions, agentic AI autonomously makes choices and executes tasks without real-time human input.

Unlike traditional AI, which only offers recommendations, agentic AI acts. It automates complex workflows, from managing operations in business to navigating autonomous vehicles. For instance, agentic AI in marketing doesn't attend conferences or build relationships the way humans do. This raises an essential question: How do we market to machines?

However, the main challenge isn't just about trusting AI to make decisions but integrating it seamlessly across systems. For agentic AI to perform effectively, it requires both inputs to drive decisions and the ability to act on them—without this integration, true autonomy is impossible.

How is Agentic AI Different from Traditional AI?

Chatbots, Copilots, and Agents—What’s the Difference?

In the wake of generative AI, the term "agentic AI" has gained popularity. Companies like Salesforce have launched platforms like Agentforce, which can autonomously manage tasks such as follow-up emails.

To assess the value of agentic AI, it's important to distinguish it from other AI tools. While chatbots and copilots assist with tasks, AI agents are the most advanced, capable of acting autonomously. Here's a breakdown:

Chatbots: General-purpose tools for answering questions and creating content.
AI Copilots: Specialized tools embedded in applications to assist with tasks like drafting emails or managing expenses.
AI Agents: Fully autonomous systems that interact with external systems to complete tasks, make decisions, and adapt over time with minimal human oversight.

AI Agent Example: Wedding Planning

A wedding planning AI agent operates independently:

1. Understand the Task: It gathers relevant information from the user.
2. Break the Task Into Subtasks: The AI decomposes the task into manageable steps.
3. Execute Actions: It interacts with external systems (like booking a venue) to carry out the plan.
4. Repeat the Process: The agent continues with each subtask, like booking catering, until the wedding is fully planned.

This autonomy is a key feature of agentic AI, differentiating it from simpler AI systems.

The Business Case for Agentic AI

While tools like AI chatbots and copilots are growing in popularity, agentic AI's widespread use—where it makes significant decisions autonomously—still lies ahead.

Why should business leaders care about agentic AI now? The decision to delegate tasks, whether to employees, outsourced services, or AI systems, revolves around three factors:

1. Reward (value vs. cost)
2. Risk (will it be done right?)
3. Penalty (what happens if it goes wrong?)

AI agents hold the potential to optimize workflows, reduce costs, and improve responsiveness. For example, an AI agent could not only route customer queries more efficiently but also engage with customers in real-time, resolving issues and enhancing satisfaction.

With the right strategy, agentic AI can bring significant value. By analyzing vast amounts of customer data, AI can generate insights that improve interactions and lead to more personalized experiences.

Systems Integration: Risks and Challenges

Agentic AI, unlike generative AI, cannot operate in isolation. To function effectively, it requires integration with multiple systems. If these systems are not connected, AI could make decisions based on incomplete or outdated data, resulting in errors.

For instance, imagine an AI agent handling supply chain logistics. To be effective, it needs real-time access to data on inventory, customer demand, and external factors like shipping delays. Without proper integration, the AI’s decisions could be flawed, undermining its autonomy.

Other Risks:

AI Data Poisoning: Malicious actors could manipulate AI by feeding it biased data, influencing decisions.
Reward Hacking: AI agents may exploit loopholes to maximize rewards without achieving the intended goals.
Unexpected Costs: Scaling AI models can be costly, and traditional pricing models don’t always reflect the expenses involved.

Agentic AI Solutions

To address these challenges, businesses are developing solutions such as:

1. Human-in-the-Loop (HITL): Allows human oversight of AI decisions in high-risk environments.
2. Synthetic Data: Helps overcome data access challenges by using simulated data to demonstrate potential without violating compliance.

As agentic AI evolves, businesses must invest in low-risk use cases, ensuring proper integration and security.

Agentic AI Use Cases for 2025

In 2025, agentic AI will likely thrive in routine, repetitive, and low-risk tasks. These areas offer significant value without major risks.

Potential Use Cases:

Repetitive Tasks: Automating scheduling, documentation, and basic booking systems will save valuable human time and prove agentic AI’s worth.
Supply Chain Optimization: AI agents could adjust stock levels in real-time based on factors like viral trends, ensuring product availability.
Enterprise Workflows: AI can automate cross-platform operations, like turning meeting notes into actionable items.
Software Development: AI can streamline software creation by automating code testing, troubleshooting, and deployment.

The Future of Agentic AI—Beyond 2025

As agentic AI matures, its role will evolve from supporting day-to-day tasks to handling more complex decision-making. Businesses will need to balance innovation with caution, ensuring proper oversight and governance while embracing the transformative potential of AI.

In the coming years, agentic AI will revolutionize industries, making work faster, smarter, and more efficient. But to unlock its full potential, integration, security, and human oversight will remain critical. The future of AI is autonomous—but it will require careful management to achieve its true promise.

Unlocking AI’s True Value: Strategies for Retailers to Maximize Impact

Sejal Jansari — Wed, 30 Oct 2024 09:00:04 +0000

A recent Gartner survey highlights that nearly 60% of organizations have implemented AI or ML systems, and these investments are set to double within a year. However, the presence of AI alone doesn’t ensure valuable outcomes. For retailers aiming to leverage AI effectively, a strategic approach is essential. Here’s how advanced retailers are maximizing AI’s impact:

1. Understand Customers as Individuals, Not Segments

While AI helps retailers understand customer behaviors, many still rely on segmented insights rather than truly individualized profiles. Advanced retailers utilize deep learning to create a “customer genome,” allowing them to reach each shopper on a personal level and offer more tailored experiences.

2. Build a Unified AI Platform, Not Isolated Models

Connecting AI models on a scalable platform amplifies speed and efficiency. This approach allows up to five times faster data processing and model deployment, enabling rapid experimentation and improved ROI from AI initiatives.

3. Focus on Ethical and Transparent AI Use

Customers expect AI to be used responsibly. Leading retailers integrate model governance throughout the AI lifecycle, including fairness testing and sensitivity analysis, to eliminate biases and ensure ethical use, maintaining trust with customers.

By adopting these practices and leveraging AI-powered tools, retailers can elevate AI from a mere tool to a transformative asset that aligns with business goals and customer expectations. As they focus on individual customer understanding, create unified platforms, and emphasize ethical usage, retailers will not only maximize AI's value but also pave the way for future innovations in the industry.

Mastering Data Privacy: Strategies for Success

Sejal Jansari — Wed, 23 Oct 2024 10:59:51 +0000

In an era where data breaches and cyber threats are increasingly common, mastering data privacy is essential for organizations and individuals alike. Protecting sensitive information isn't just about meeting legal requirements—it’s about safeguarding trust and ensuring long-term success. Here, we outline key strategies to master data privacy in 2024 and beyond.

1. Understand Data Privacy Laws and Regulations

The first step in any data privacy strategy is understanding the software development regulatory legal compliances. Laws like GDPR (General Data Protection Regulation), CCPA (California Consumer Privacy Act), and HIPAA (Health Insurance Portability and Accountability Act) are just a few examples of regulations that govern how data is collected, stored, and shared. Compliance is not optional—it is vital to avoid hefty fines and reputation damage.

Key Actions:

Regularly review changes in global and local data protection laws.
Work with legal counsel to ensure your organization stays compliant.
Implement regular audits to monitor compliance with applicable regulations.

2. Develop a Strong Data Governance Framework

A well-structured data governance framework helps to manage data effectively throughout its lifecycle. This includes creating clear policies on data collection, processing, sharing, and deletion. Define who has access to different types of data and ensure data handling follows the organization's privacy principles.

Key Actions:

Define clear roles and responsibilities within the organization.
Establish robust data access controls and permissions.
Regularly update policies to adapt to evolving business needs and technological advancements.

3. Invest in Data Encryption and Security

Encryption is one of the most effective tools for protecting sensitive data. By encrypting data both at rest and in transit, you can ensure that even if data is intercepted, it remains unreadable to unauthorized users.

Key Actions:

Use encryption for sensitive data, both at rest and during transmission.
Implement strong, multi-factor authentication systems.
Regularly update and patch security systems to mitigate vulnerabilities.

4. Implement Data Minimization Practices

Collect only the data you need to fulfill your business purposes. Data minimization not only reduces the risk of a breach but also ensures compliance with privacy laws that require organizations to limit the amount of personal data they collect.

Key Actions:

Review and limit the amount of personal data collected.
Anonymize or pseudonymize data when possible to reduce its sensitivity.
Implement data retention policies that enforce the deletion of data once it's no longer needed.

5. Train Employees on Data Privacy

Human error is a leading cause of data breaches. Providing regular training on data privacy best practices to employees ensures they understand how to handle sensitive information and recognize potential threats.

Key Actions:

Develop regular training sessions and workshops for employees.
Encourage a culture of data privacy awareness across the organization.
Implement phishing simulations and data breach drills to test readiness.

6. Transparency with Customers

Building trust with customers involves being transparent about how you collect, use, and store their data. Ensure your privacy policies are clear and easily accessible, and give users control over their own information, such as options to opt-out of data sharing.

Key Actions:

Regularly update and communicate privacy policies with customers.
Provide easy-to-use data management options for users, such as data deletion or opt-out forms.
Respond to data access or deletion requests within the legal timeframe.

7. Monitor and Respond to Data Breaches

Despite all precautions, breaches can still happen. Have a detailed incident response plan to detect, contain, and mitigate the impact of any data breach. Early detection and rapid response can prevent further damage and demonstrate your organization’s commitment to safeguarding data.

Key Actions:

Set up automated systems to monitor for unauthorized access.
Develop a clear breach notification process to inform affected parties and regulators.
Continuously improve your response plan based on post-incident reviews.

Conclusion

Mastering data privacy requires a multifaceted approach, blending legal compliance, strong data governance, advanced security measures, and employee awareness. As data continues to play a critical role in business operations, organizations that prioritize privacy will build stronger relationships with customers, gain a competitive edge, and avoid costly breaches. By following these strategies, you can ensure a successful and secure approach to data privacy in 2024 and beyond.

The Future of Grocery: A Customer-Centric Approach to Digital Transformation

Sejal Jansari — Tue, 08 Oct 2024 08:05:39 +0000

Traditional grocery stores are quickly adapting to meet the needs of today's digital consumers. Unlike online-first retailers, legacy grocers face challenges in managing fresh inventory and balancing online services with in-store experiences. As technology reshapes the shopping landscape, the global grocery industry is set to grow, with sales projected to reach $1.9 trillion by 2023.

To thrive in this evolving market, grocers must embrace data-driven strategies that provide seamless, personalized shopping experiences.

Adapting to the Digital Shopper

Managing fresh produce and handling the rise of in-store pickup and home delivery are top priorities for grocery stores. This shift requires improved supply chain management and redesigned store layouts to accommodate more order pickers while maintaining a smooth in-store shopping experience.

Consumers now expect flexible shopping options like curbside pickup, subscription services, and click-and-collect. To keep up with demand, grocery stores need to adopt faster, more efficient approaches to managing inventory and fulfilling orders.

Simplifying the Customer Experience

Creating a customer-centric digital experience means making things easy and intuitive. Successful grocery stores offer:
• User-friendly online platforms with personalized recommendations, offers, and rewards.
• Mobile apps that enhance the in-store experience, offering flexible checkout and product discovery.
• Transparency in supply chains to build trust with customers.

By understanding customer preferences, stores can offer conveniences like auto-reordering frequent items and suggesting recipes to reduce waste.

Rethinking the Supply Chain

To meet the needs of digital shoppers, grocery stores must overhaul their supply chains. Grocery is a low-margin business, so improving efficiency is essential.

Data-driven insights help grocers optimize delivery options and customer experiences. For example, Loblaw’s PC Express Online service allows customers to place orders for pickup or delivery at over 700 locations in Canada, showcasing a successful shift towards digital.

The Future of Grocery
As the grocery industry grows and digital-native shoppers reshape the market, grocers that prioritize customer-focused innovations, with support from digital transformation companies, will come out ahead. By using data effectively, stores can offer personalized shopping experiences that shape the future of grocery.

Customers Expect Inclusivity, but Make It Authentic

Sejal Jansari — Wed, 02 Oct 2024 06:14:45 +0000

Research shows that diverse companies often outperform their less inclusive counterparts. Frances West, IBM’s first chief accessibility officer, emphasizes embedding diversity and inclusion into core operations and innovation in her book Authentic Inclusion Drives Disruptive Innovation.

Drawing from her experience as a first-generation immigrant and executive, West advocates a human-first approach that aligns principles, purpose, and profit. This blog explores her insights on operationalizing inclusivity, bridging the talent gap, and enhancing customer experiences—highlighting its relevance for app development in nyc and beyond.

Bridging the Talent Gap

West stresses the importance of innovative sourcing strategies to tap into underrepresented groups such as women and individuals with disabilities, app development nyc can leverage this approach to fill STEM roles and unlock untapped talent potential.

Enhancing Customer Loyalty

Inclusion enriches both workplace dynamics and customer experiences. By developing products that accommodate diverse abilities, companies, including those focused on app development in NYC, can foster customer loyalty and long-term engagement.

Designing for Extremes

Designing for the extremes leads to innovations that benefit everyone. West cites the example of eye-gaze technology initially developed for Stephen Hawking, which later found broader applications in autonomous vehicles—showing how niche innovations can have widespread impact.

Addressing Bias in Technology

West emphasizes the importance of diversity in AI development to prevent unconscious biases from being embedded in technology. Leaders in NYC's app development sector must prioritize diverse teams to create fair, transparent, and unbiased technology solutions.

Operationalizing Inclusion: The 6 E Framework

West introduces the “6 E Framework” to transform inclusion from a core value to a core practice. This framework includes:

1. Embrace: Senior leadership champions the concept of inclusion.
2. Envision: Develop a clear strategy for inclusion.
3. Enact: Implement policies that institutionalize inclusion.
4. Enlist: Allocate resources and funding.
5. Enable: Provide education and training on digital inclusion and accessibility.
6. Ensure: Measure progress and outcomes.

By adopting this framework, app companies nyc can foster sustainable, authentic inclusion, enhancing both innovation and business outcomes while contributing to a more just society.

Beyond Product Recommendations: How Retailers Can Increase Profits with Generative AI

Sejal Jansari — Tue, 24 Sep 2024 11:20:54 +0000

Generative AI is transforming retail industry and retail app development by offering more than just product recommendations but revolutionizing customer engagement, operational efficiency, and profitability. Retailers can leverage this technology to enhance the entire shopping experience while reducing costs.

What is Generative AI and Its Role in Retail
Generative AI uses machine learning models to create new content based on patterns from large datasets. From GPT-4 to Google’s Bard, these models generate everything from text to images, reshaping how businesses interact with customers. However, unlike human intelligence, generative AI predicts responses based on probability, not reasoning, which has its strengths and limitations.

1. Hyper-Personalized Customer Experiences
Traditional AI tools have been effective in providing product recommendations based on customer browsing and purchasing history. However, generative AI can take personalization a step further. By analyzing vast amounts of customer data, generative AI can create customized shopping experiences that go beyond mere recommendations. It can craft unique product descriptions, suggest complementary items tailored to individual preferences, and even design personalized promotions. This level of customization not only increases customer satisfaction but also boosts sales by making the shopping experience more engaging and relevant.

2. Automating Content Creation for Marketing
Content marketing is a vital part of retail, but creating high-quality content at scale can be time-consuming and costly. Generative AI solves this problem by automating the creation of product descriptions, blog posts, social media captions, and even email marketing campaigns. By leveraging AI-driven tools, retailers can generate compelling, SEO-optimized content that resonates with their target audience. This frees up valuable time for marketing teams to focus on strategy, while also ensuring a consistent flow of content that attracts and retains customers.

3. Dynamic Pricing Strategies
Retail pricing is a delicate balance between maximizing profit and staying competitive. Generative AI can help retailers optimize pricing strategies by analyzing market trends, competitor pricing, and customer behavior in real-time. With this data, AI can suggest dynamic pricing adjustments, ensuring that retailers remain competitive while maintaining healthy profit margins. Whether it's flash sales, promotions, or long-term pricing strategies, AI-driven insights enable retailers to make informed decisions that positively impact the bottom line.

4. Supply Chain Optimization
Generative AI can streamline the entire supply chain, from demand forecasting to inventory management. By predicting customer demand more accurately, retailers can reduce overstocking or understocking, both of which impact profitability. AI can also optimize logistics, ensuring faster and more efficient delivery while minimizing costs. By automating these processes, generative AI helps retailers operate more efficiently, which translates into higher profit margins.

5. Enhancing Product Development
Generative AI can be used to analyze customer feedback and market trends, helping retailers design and develop new products that align with consumer demand. By generating design ideas, analyzing product performance, and even predicting future trends, AI enables retailers to innovate faster and more effectively. This leads to the creation of products that are more likely to succeed in the market, reducing the risk of failed product launches and increasing profitability.

6. Chatbots and Virtual Assistants for Customer Support
AI-powered chatbots and virtual assistants are transforming customer service in retail. These AI systems are capable of handling customer inquiries, providing personalized shopping advice, and even completing transactions. By automating these interactions, retailers can provide faster, more efficient service, leading to higher customer satisfaction and repeat purchases. Additionally, by reducing the need for human customer service agents, AI-driven support systems help cut operational costs.

7. Reducing Returns with AI-Driven Insights
Returns are a major cost for retailers, but generative AI can help mitigate this issue. By analyzing customer behavior, purchase history, and product data, AI can provide more accurate product recommendations that better meet customer needs. This reduces the likelihood of returns due to incorrect sizing, dissatisfaction, or mismatched expectations. Fewer returns mean lower costs and higher overall profits for retailers.

Ethical AI Implementation and the Future of Retail
Retailers like Walmart are leading the charge in responsible AI development. Ethical deployment is essential to ensure trust, privacy, and transparency in AI-driven processes. As AI becomes more integrated into retail, investing in robust data strategies and technical infrastructure will be key to long-term success. Retailers must centralize customer data, upskill employees, and modernize legacy systems to fully harness the power of generative AI.

In the coming years, generative AI will be a cornerstone of retail, reshaping e-commerce and beyond. Retailers who act now will gain a competitive edge, increasing profits while delivering exceptional customer experiences.

By leveraging the full potential of generative AI, retailers can stay ahead of the competition and thrive in an increasingly digital marketplace.

Five Opportunities and Challenges for Retail Healthcare in 2024

Sejal Jansari — Tue, 10 Sep 2024 07:57:07 +0000

As the lines between shopping and healthcare blur, retailers are uniquely positioned to meet the growing demand for convenient, affordable, and personalized healthcare services. Consumers value convenience and reliability, giving retailers an opportunity to expand health and wellness offerings through digital transformation.

What’s New in Retail Healthcare?

Recent shifts in healthcare have pushed consumers toward nontraditional providers for services like vaccines and testing. Major acquisitions in 2023, such as Amazon’s purchase of One Medical, Walmart’s acquisition of VillageMD, and CVS Health’s buyout of Oak Street Health, demonstrate the increasing role of retailers in delivering accessible healthcare. These moves highlight the evolving landscape where retailers use their resources and customer bases to challenge traditional healthcare models.

The American healthcare system faces multiple challenges, including worker strikes and rural hospital closures, emphasizing the need for innovative solutions. Retailers can leverage their frequent interactions with consumers and digital tools to enhance their healthcare offerings.
Predicted Trends for Retail Healthcare in 2024

1. Omnichannel Pharmacy Growth

Opportunity: With prescription drug spending increasing and many Americans relying on prescription medications, there is a demand for seamless digital pharmacy experiences. Retailers are well-positioned to address gaps in prescription access and fulfillment through omnichannel solutions.

Challenge: Retailers must replicate the personal touch of in-store pharmacies online and integrate customer and patient data across services. Developing a “super app” to combine health and wellness offerings could be a solution, but this requires sophisticated data strategies.

2. Rural Health Clinics

Opportunity: Rural areas often lack accessible healthcare services. Retailers can use their physical store presence to offer in-store health clinics, addressing this gap and providing convenient care.

Challenge: Many retail spaces are not designed for healthcare services, and creating a reliable in-store care setting requires new workflows and redesigns.

3. Food-as-Medicine

Opportunity: There is growing consumer interest in health-focused food products, but cost concerns can be a barrier. Retailers can drive adoption by offering promotions, rewards, and in-store health education.

Challenge: Retailers need to deliver personalized messaging and navigate complex relationships with packaged goods companies to promote health-focused products effectively.

4. Competing with Health Insurance

Opportunity: Frustration with traditional healthcare costs opens a $25 billion opportunity for retailers to offer transparent, affordable health insurance options and simplified digital experiences.

Challenge: Developing effective insurance products and digital engagement strategies requires significant investment and strategic planning.

5. B2B Retail Expansion

Opportunity: Retailers can tap into the fragmented B2B medical supply market, providing a more digital and streamlined experience for health professionals and expanding their market reach.

Challenge: Establishing loyalty in the B2B medical supply market requires a robust e-commerce strategy and efficient store operations.

The Future of Retail Healthcare
Consumer interest in health and wellness continues to grow, driven by rising healthcare costs and a focus on preventative care. In 2024, retailers will need to balance consumer experience, patient data, and new partnerships to expand their health and wellness offerings. By leveraging data and understanding consumer needs, top retailers can create unique physical and digital healthcare experiences.

As retailers expand their role in healthcare, they must navigate new challenges and seize emerging opportunities. The integration of digital tools and innovative strategies will be crucial in meeting consumer expectations and enhancing healthcare delivery. For retailers looking to develop healthcare-related solutions, partnering with a leading healthcare app development company can provide the expertise needed to create effective and user-friendly applications that meet the evolving needs of the healthcare sector.