Community Voices
Thoughts and opinions from the computer science and engineering community.
Recent Articles
By Wrick Talukdar
Reinforcement Learning (RL) has emerged as a cornerstone of modern artificial intelligence, enabling systems to learn optimal strategies through interaction with their environments. When integrated into agentic systems, RL unlocks a new dimension of autonomy and adaptability, empowering agents to make intelligent decisions in dynamic and complex ...
By Varun Shinde
In 2023, there was a significant increase in AI-related security incidents, with 121 recorded cases—an increase of 30% from the previous year [1]. This figure constitutes one-fifth of all AI incidents documented from 2010 to 2023, making 2023 a record year in the decades of AI existence. The global AI training data market was valued at approxim...
By Wrick Talukdar
"The future is already here – it's just not evenly distributed," William Gibson, the American-Canadian author once said.
Today, that future is materializing rapidly as AI-powered systems revolutionize how we live, work, and interact. Among these innovations, autonomous AI agents, powered by Large Language Models (LLMs), stand out as transforma...
By Vineet Dhanawat
Artificial Intelligence (AI) has rapidly become a cornerstone of decision-making across critical systems, from healthcare and finance to judicial processes and public safety. According to a poll conducted by Thomson Reuters, 91% of C-suite executives say that they have plans to implement AI tools in some way, shape, or form within the next 18 mon...
By Anjanava Biswas
It is well established by now that generative AI systems have demonstrated remarkable capabilities, from generating nuanced human-like text and engaging in complex problem-solving to assisting with code development and creative tasks. Their impact spans across industries, revolutionizing content creation, customer service, and data analysis. The po...
By Anjanava Biswas
According to a 2024 McKinsey Global Survey, 65% of businesses are using AI in their enterprise operations, nearly double the percentage from their previous survey 10 months earlier. The overall AI adoption has surged up to 72% of organizations surveyed, which is up from about 50% in previous years. Statista reports that businesses see an average of...
By Nihad Bassis
Artificial intelligence (AI) is rapidly transforming society, impacting everything from healthcare and finance to transportation and entertainment. As AI continues to evolve, it's vital to ensure its development and deployment are done responsibly. Here, we'll explore the concept of professional integrity in the AI field and delve into some key pri...
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By Pratiksha Agarwal
Large Language Models (LLMs) like GPT-3 have transformed how businesses analyze and interpret vast amounts of data. These AI-driven models, trained on extensive text datasets, can accurately understand, generate, and translate language. They support various applications, from automated customer service to insightful data analysis, playing a pivotal...
By Ranadeep Reddy Palle
Building scalable and flexible systems has grown more dependent on the adoption of microservices architecture in the ever changing field of modern software development. Organizations face new data integrity and consistency concerns when they switch from traditional monolithic architectures to distributed microservices. Maintaining the system's over...
By Dinesh Chacko
Advanced technology is not always immediately effective and well received. There's a risk that users will not adapt to or ultimately accept every new software release due to functionality complications or bugs that affect system software. To increase the likelihood of any product or program's immediate success upon release, billion-dollar companies...
By Hrishikesh Paranjape
Technological advancements have established the foundation for completing last-mile deliveries in a challenging environment in a timely, safe, and cost-effective manner. Selections are more diverse and deliveries are faster, yet costs are on the rise. As time frames tighten—from days to hours and hours to minutes—customer sensitivity to late de...
By Gaurav Rathi
As the global digital landscape changes at breakneck speed, the sanctity of organizations' data has never been more at risk. Driven by the persistent advancement of technology and increasingly sophisticated cyber threats, identity access management (IAM) systems are evolving rapidly to keep up.
IAM systems are the first line of defense in securing...
By Kamala Manju Kesavan
To stay competitive, it is essential for data-driven companies and enterprises to adapt and implement innovative digital developments into their everyday workflow. Relevancy in a global marketplace is reliant on the execution of centralized digital transformation initiatives. An organization's digital transformation journey is only as good as its l...
By Yash Dave
Tech companies require faster, ongoing adaptation and innovation to manage today's rapid technological advancement and evolving consumer priorities. As such, it is vital for organizations to focus on bridging the gap between senior leadership's vision and the precise adaptations of technologies to excel in an ever-changing marketplace. The solution...
By Mayank Hindka
In today's swiftly changing digital landscape, innovate, streamline operations, and enhance customer experiences. At the heart of this transformation lies the integration of Application Programming Interfaces (APIs) and the utilization of Cloud Computing technologies. APIs are the conduit linking various software applications, facilitating seamless...
By Ushakar Jha, PE, MIEEE, MASCE
The urgent need to transition to clean energy is becoming increasingly clear to governments and enterprises across the globe. The United States has established a goal of achieving a carbon-neutral economy by 2050. Additionally, industry leaders like Amazon, Apple, and IBM have set large-scale sustainability goals. At the same time, several factors,...
By Pranav kumar Chaudhary
In today's dynamic world of AI and ML, Machine Learning Engineers need to experiment, train, retrain, and infer ML Models rapidly. Rapid deployment of models for A/B testing, Shadow testing, and Production testing needs a streamlined process to accelerate the experimentation and production time.
As per An Introduction to Machine Learning Model Dep...
By Sushil Kumar
Technology permeates every sector. As such, it is essential for technical leaders to master strategic skills beyond pure technical expertise. Collaboration, critical thinking, and communication skills can help leaders scale innovation and lead large, cross-functional teams. Leaders also need rigorous analytical abilities to make decisive trade-offs...
By Steve Prentice
Much of the focus of IT, cybersecurity, and business processes overall since the peak years of the pandemic has been on the technologies at our fingertips. From video chats to hybrid workspaces to generative AI, these quickly evolving tools have changed business forever, and hopefully for the better. But there is a component of the business world t...
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By Christina Iodice
Today's organizations are confronted with the constant threat of cybersecurity breaches that can potentially disrupt their business. Consequently, there is an increasing demand for professionals in the field of cybersecurity. However, fulfilling this demand hasn't been easy.
One of the challenges in the industry is gender diversity. Currently, wom...
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