Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(3)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(153)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

Gen AI’s Next Leap: Predicting the Future of Artificial Intelligence in 2024 and Beyond

In recent years, artificial intelligence has transformed from a futuristic concept into a dynamic and influential force across various industries. A striking statistic from Deloitte’s Managing Director, Manoj Suvarna, highlights this evolution: Generative AI (GenAI) has become more mainstream than ever before, reshaping traditional business workflows and introducing novel content creation methods​​. This article delves into the current landscape and Gen AI’s next leap, exploring how it’s poised to continue revolutionizing the way we live and work.

Rise of Gen AI

2023 marked a significant breakthrough for generative AI. It evolved from a novel technology to a mainstream tool, deeply integrated into businesses and creative processes. ChatGPT, a prominent example, showcased the potential of GenAI in automating complex tasks such as content creation, software development, and image generation. This mainstream adoption is changing the game, compelling organizations to adopt private large language models (LLMs) not just as an enhancement but as a necessity to stay competitive​​.

The practical applications of GenAI are vast. In content creation, for instance, it’s no longer about automating mundane tasks; it’s about crafting unique, engaging content that resonates with audiences on a deeper level. Similarly, in software development, GenAI is not just streamlining processes but also enabling the creation of more sophisticated, user-centric software. Tech companies have started training their workforce to be able to use AI tools and increase productivity. 

The underlying implication is profound: organizations leveraging GenAI are not just optimizing their operations; they’re redefining their industry landscapes.

Challenges and Innovations in AI Hardware

However, this rapid growth in AI capabilities is not without its challenges, particularly in hardware. A major concern as we step into 2024 is the global shortage of GPU processors, critical for running AI applications. This shortage is a result of increased demand from big companies seeking to internalize AI capabilities. Notably, NVIDIA, a major GPU manufacturer, is struggling to meet this skyrocketing demand​​.

This challenge is spurring innovation in AI hardware. Experts at Stanford, including professors like Kunle Olukotun and Chris Re, are exploring low-power alternatives to current GPUs. These efforts are crucial in democratizing AI technology, making it accessible beyond the big players. The development of new hardware solutions is not just about meeting current demands; it’s about future-proofing AI technology, ensuring that it remains sustainable and accessible as it becomes increasingly woven into the fabric of our society​​.

AI-Powered Agents and Multimedia

The landscape of AI is set to evolve remarkably in 2024, with a significant shift towards more interactive and multi-functional AI agents. The previous year laid the groundwork, mainly focusing on chat-based AI interactions. But the upcoming year promises to leap beyond this, enabling AI agents to perform real-world tasks like making reservations, planning trips, and seamlessly connecting to various services. This evolution marks a transition from AI as a conversational tool to a practical assistant capable of executing tasks autonomously​​.

In multimedia, AI’s potential is expanding rapidly. Until now, the focus has primarily been on language and image models. However, the integration of video processing is on the horizon. This advancement is particularly intriguing because video data provides a new dimension of unfiltered, continuous information that AI models haven’t processed before. It could lead to a more profound understanding of real-world events and behaviors, significantly enhancing AI’s predictive and analytical capabilities​​.

Importance of AI Governance and Ethics

As AI becomes increasingly integrated into various aspects of society, the need for robust governance and ethical frameworks grows more urgent. In 2024, we can expect more concrete actions and policies in this area. Governments and organizations worldwide are recognizing the risks associated with bias, inequality, and discrimination in AI algorithms. Consequently, there’s a move towards implementing guardrails and governance policies to mitigate these risks. The U.S. White House Executive Order and emerging regulations in Europe are indicative of this global shift towards responsible AI usage​​.

In addition, the calls for transparency and responsible development in AI are expected to grow stronger. This focus on ethical AI development reflects a broader societal demand for technology that not only advances capabilities but also respects and protects human rights and values. This shift is not just about avoiding harm; it’s about leveraging AI in a way that positively contributes to society, fostering trust and acceptance among the general public​​.

AI in the Workplace

The impact of AI on the workforce is a crucial trend for 2024. AI adoption in the workplace is enhancing processes, boosting productivity, and reshaping income structures. It’s a double-edged sword, however, as it also brings the potential for significant job displacement. To counterbalance this, there will be a heightened emphasis on the reskilling and upskilling of employees. The future workplace will likely see the emergence of new roles such as AI ethicists and prompt engineers, illustrating the transformative effect of AI on job landscapes​​.

A Goldman Sachs report suggests that AI could trigger a productivity boom, potentially increasing the total annual value of global goods and services by 7%. This signifies a profound shift in the nature of work, where certain skills will become obsolete while others, like analytical judgment and emotional intelligence, will become more valuable. The integration of AI in the workplace is not just about automation; it’s about creating a more dynamic, skill-focused, and efficient workforce​​.

AI in Various Industries

In 2024, we’ll witness AI’s growing influence across a wide array of industries, reshaping them in innovative ways. The healthcare sector, for example, will see AI-driven enhancements in patient communication, disease detection, and support for healthcare professionals. In education, AI is expected to revolutionize learning experiences through innovative content and personalized tutoring systems. Manufacturing will benefit from AI in rapid prototyping, digital twinning, and optimizing production processes​​.

Each industry will experience AI’s transformative power differently, but the common thread is the move toward efficiency, precision, and personalization. For instance, in e-commerce, AI is set to offer more tailored shopping experiences, while in agriculture, it could lead to more efficient and sustainable farming practices. There are many case studies on such solutions built by tech companies like Mantra Labs. This widespread application signifies AI’s versatility and its potential to solve industry-specific challenges​​.

Data Protection and Privacy in the Age of AI

As AI technologies become more pervasive, the importance of data protection and privacy is increasingly highlighted. AI TRiSM (Trust, Risk, and Security Management) is gaining prominence as a framework to help organizations comply with data privacy regulations. By 2026, it’s expected that companies using AI TRiSM to manage their AI systems will significantly improve decision-making by eliminating inaccurate or fake data​​.

This trend underscores the necessity of balancing AI’s potential with the need to protect individual privacy. As AI systems often contain sensitive personal data, ensuring their security and compliance with data privacy laws is crucial for maintaining public trust and ethical standards in AI deployment.

Personalization Through AI

Personalization is a key trend in AI for 2024, especially in app development. Gartner predicts that by 2026, a third of all new apps will use AI to create personalized and adaptive user interfaces, a significant increase from today’s numbers. This shift is driven by AI’s ability to analyze user data and preferences, offering tailored content and experiences. Companies excelling in AI-powered personalization are expected to generate significantly more revenue from these activities compared to their peers​​.

Emergence of Quantum AI

Quantum AI, the fusion of quantum computing and AI, is an emerging field poised to open new possibilities in various domains. It could revolutionize financial modeling, and drug discovery, and even contribute to the development of Artificial General Intelligence (AGI). The global Quantum AI market is anticipated to reach a significant value by 2030, growing at a robust rate. This synergy between quantum computing and AI has the potential to dramatically enhance computational power and efficiency, paving the way for groundbreaking advancements​​.

Legislative Landscape for AI

The advancement and integration of AI into daily life necessitate the development of comprehensive legislation to govern its use. Laws and regulations will be crucial in ensuring AI is used responsibly and ethically. As AI can be utilized for both positive and negative purposes, having a legal framework in place is essential for guiding its development and application in a manner that aligns with societal values and norms​​.

Wrapping Up

Looking ahead to 2024 and beyond, AI is set to continue its transformative journey, impacting every facet of our lives. From enhancing workplace productivity to reshaping entire industries and necessitating robust governance frameworks, AI’s potential is boundless. As we embrace these advancements, it’s crucial to balance innovation with ethical considerations, ensuring AI’s development benefits society as a whole. The future of AI is not just about technological prowess; it’s about how we harness this power to create a more efficient, equitable, and sustainable world.

Cancel

Knowledge thats worth delivered in your inbox

Sales Applications Are Disrupting More Than Just Sales

Sales success today isn’t about luck or lofty goals—it’s about having the right tools in your team’s hands, wherever they go. Following our earlier in-depth exploration of sales technology, we will now examine how cutting-edge sales apps are becoming the backbone of modern industries, transforming complex workflows into seamless, growth-driving machines.

From retail to healthcare, logistics to real estate, businesses are deploying sales applications to enhance operational transparency, cut redundant tasks, and build intelligent sales ecosystems. These tools are not only digitizing workflows—they’re driving growth, improving engagement, and redefining how field teams operate.

Lead Ecosystems: Unified visibility across channels

One app. Five workflows. Zero friction.

A leading insurance brand relaunched their app—a sleek, powerful sales companion that’s turning everyday agents into top performers.

No more paperwork. More time to sell.

Here’s what changed:

  • Every visit is tagged, tracked, and followed through. Renewals? Never missed. Leads? Fully visible.
  • Attendance and reimbursements went on autopilot. No more manual logs. No more chasing approvals.
  • New business and renewals are tracked in real time, with accurate forecasting that sales leaders can finally trust.
  • Dashboards are clean, configurable, and useful—insights that move the business, not just report on it.
  • Seamless Integrations. API connectivity with Darwin Box, IMD Master Data, and SSO authentication for a unified experience.

The result? A field team that moves faster, sells better, and works smarter.

Retail: Taking Orders from the Frontline—Smartly

Field sales agents in retail, especially FMCG, used to rely on gut instinct. Now, with intelligent sales applications:

  • AI recommends what to upsell or cross-sell based on previous order patterns
  • Real-time stock availability and credit status are visible in the app
  • Geo-fencing ensures optimized route planning
  • Built-in payment collection modules streamline transaction closure

Healthcare: Structuring Sales with Compliance and Precision

Healthcare leaders don’t need more reports—they need better visibility from the field.  Whether it’s engaging hospital networks, onboarding clinics, or enabling diagnostics at the last mile, everything needs precision, compliance, and clarity. 

Mantra Labs helped a leading healthcare enterprise design a sales app that integrates knowledge, compliance, performance, and recognition, turning frontline agents into informed, aligned, and empowered brand advocates. 

Here’s what it delivers:

  • Role-based onboarding that keeps every level of the field force aligned and accountable
  • Escalation mechanisms are built into the system, driving transparency across commissions and performance reviews
  • A centralized Knowledge Hub featuring healthcare news, service updates, and training modules to keep reps well-informed
  • Recognition modules that celebrate milestones, boost morale, and reinforce a culture of excellence

Now, the field agents aren’t just connected—they’re aligned, upskilled, and accountable.

Real Estate: From Cold Calls to Smart Conversions

For real estate agents, timing and personalization are everything. Sales applications are evolving to include:

  • Virtual site tour integration for remote buyers
  • Mortgage and EMI calculators to increase buyer confidence
  • WhatsApp-based lead capture and nurture sequences
  • CRM integration for inventory updates and automatic scheduling

Logistics: From Chaos to Control in Field Coordination

Field agents in logistics are switching from clipboards to real-time command centers on mobile. Modern sales applications offer:

  • Live delivery status and route deviation alerts
  • Automated dispute reporting and issue resolution tracking
  • Fleet coordination through integrated GPS modules
  • Customer feedback capture and SLA dashboards

What’s new & what’s next in Sales Applications?

Here’s what’s pushing the next wave of innovation:

  • Voice-to-Text Logging: Agents dictate notes while on the move.
  • AI-Powered Nudges: Apps that suggest next-best actions based on behavior.
  • Omnichannel Communication: In-app chat, WhatsApp, email—unified.
  • Role-Based Dashboards: Different data views for admins, managers, and field reps.

What does this mean for Business Leaders?

Sales Applications are not just tactical tools. They’re platforms for transformation. With the right design, integrations, and analytics, they:

  • Replace guesswork with intelligence
  • Reduce the cost of delay and manual labor
  • Improve agent accountability and transparency
  • Speed up decision-making across hierarchies

The future of field sales lies in intuitive, AI-driven applications that adapt to every industry’s nuances. At Mantra Labs, we work closely with enterprises to custom-build sales applications that align with business objectives and ground-level realities.

Conclusion: 

If your agents still rely on Excel trackers and daily call reports, it’s time to reimagine your sales operations. Let us help you bring your field operations into the future—with tools that are fast, field-tested, and built for scale.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot