AppsTek Corp Digital Digest – October, 2024

AppsTek Corp Digital Digest – October, 2024

From groundbreaking technologies to a renewed focus on old approaches, 2024 was a whirlwind for the tech landscape. What’s in store for 2025?

Buckle up—things are about to get a little spooky. Join us as we walk through the graveyard of outdated practices, where we’ll explore what’s meeting its demise and the emerging trends set to take their place.

Each of these trends marks a pivotal step forward—adapt now, or risk being left behind.


#1 The ‘Search’ is Dead

Imagine you're an executive leading digital transformation in the oil and gas industry . Would you spend hours combing through search results? Or perhaps you're a manager looking for an internal report—how long does it take to find what you need?

A staggering 30% of a knowledge worker's day is spent searching for information (IDC).

The good old search is dying, giving way to more contextual, human-like interactions. From evolving search engines offering a mix of information synthesis and multimedia results to enterprise search systems, there’s a growing need for faster, more accurate search experience.

Generative AI-powered search understands intent and delivers highly relevant information from multiple sources, all in one place. Think of it as enhanced semantic search—summarizing key points, extracting insights from documents, and offering the most relevant answers to complex questions.

This shift isn’t just convenient—it’s critical. In industries like oil and gas, where data is a critical asset and compliance is non-negotiable, Generative AI-powered enterprise search systems provide a secure, efficient way to access vital information without compromising security.

#2 The Sun Sets on Legacy AI, Generative AI is Taking Over

Legacy AI has made its mark, but the industry’s focus is shifting toward generative intelligence. With $36 billion in equity investments and innovations like GPT-4, Claude, Gemini, and Midjourney, generative AI use cases are projected to generate between $2.6 and $4.4 trillion in revenue. 65% of organizations plan to adopt generative AI in at least one business function.

The shift toward multimodality, open-source models like Llama, and localized LLMs is transforming industries, setting a new standard for automation and personalized experiences. However, companies must address challenges such as data quality, risk mitigation, and ROI, while ensuring robust controls during development and deployment.

To fully leverage generative AI, businesses need a strong foundation. Modernizing software and infrastructure is essential to scale for today’s demands and future AI-driven innovation.


Read

?? CTO's Guide to Modernizing Legacy Systems

?? Hassle-Free App Modernization with Capten.ai, Our Proprietary Solution

?? CDO's Guide to Data Strategy Success


#3 Scale or Stall? The End of Pilot-Only Purgatory

The era of endless pilot projects is over; businesses are now focused on scaling technology adoption. However, scaling isn't just about internal efforts. External factors like user trust, regulations, talent availability, and economic conditions play crucial roles.

Executives must align their long-term tech strategies with both internal strengths and external factors. Keep a close eye on changing regulations, market trends, and user expectations. Risk management, budget flexibility, and adaptability are essential for successful adoption.

Companies that move beyond testing and embrace a long-term perspective—by investing in talent, learning through experimentation, and rethinking business models—will outperform their competitors and drive sustainable growth.

#4 AI Agents Are Taking Over (And It’s Not an Apocalypse)

The talent shortage and growing technical debt have made traditional development methods outdated, driving the need for faster, more reliable, and more secure solutions.

AI agents are transforming software development by handling routine tasks like code generation, testing, debugging, and deployment. This allows teams to focus on innovation, dramatically reducing development times and bridging skill gaps as AI becomes a key partner in improving efficiency, reliability, and security.

As low-code platforms, AI assistants, AI code generators , and scalable cloud architectures advance, they’re enabling democratized development and greater efficiency. However, as AI-generated code becomes standard, agnostic frameworks, compliance, and trust will be essential in this new software era.


Read

?? Disrupting Software Development Lifecycle with Generative AI

?? A Realistic Perspective on Generative AI for Business: Understanding the Limits

?? Overcome Innovation Paralysis with Technology Agnostic Solutions


#5 With Great (AI) Power Comes Great Risk and Responsibility – The Rise of MSPs

The days of reactive IT management are dying, making room for proactive Managed Service Providers (MSPs) that are reshaping how businesses navigate the digital age. As businesses embrace multi-cloud strategies, MSPs are stepping in to streamline performance, ensure scalability, and offer stronger cybersecurity measures to tackle rising threats. At the same time, data analytics consulting is becoming a key focus, empowering organizations to turn vast amounts of data into actionable insights, driving innovation, and improving decision-making for future growth.


Read

?? Why Outsourcing Can Be Your Recession Lifeline

?? Mastering Business Intelligence with AI


# 6 – Manual Processes Are Out, It’s Time to Automate with 'Intelligence'

Gone are the days of relying on manual processes and isolated automation efforts, as Intelligent Automation takes center stage. The seamless integration of technologies like Intelligent Document Processing and Robotic Process Automation has expanded far beyond simple task automation, now powering end-to-end workflows that handle documents with speed and precision while automating complex tasks. The once fragmented, disconnected systems are being replaced by cohesive platforms that streamline operations, enhance decision-making, and ensure compliance. In this new era, businesses rely on intelligent automation to transform how work gets done, leaving the inefficiencies of the past behind.


Read

??A Comprehensive Guide to Intelligent Document Processing

?? Why Modern Mortgage Lenders are Racing to Automate Document Processing

?? Crafting an RPA Strategy: A Guide to Automation for C-Suite Executives


The LOL Section: "The Graveyard Shift"

What dated practices are haunting your business? ??

Stay tuned for more spooktacular insights and innovations from AppsTek Corp. As the shadows of outdated practices linger, remember—there’s always a way forward. Whether it's harnessing AI agents, scaling technology, or reimagining how you work, the future is in your hands.

Wishing you a frightfully successful digital transformation and a Happy Halloween!


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