Рубрика: AI

“Focusing merely on productivity is akin to rearranging deck chairs on the Titanic; it’s a waste of time if we’re not steering towards true value creation. Simply doing something faster doesn’t equate to doing something more effectively or better. We must leverage technologies like GenAI to drive innovation, enhance efficiency, and transform our value creation processes and offerings.”

Senior management seems infatuated with leveraging Generative AI (GenAI) to improve productivity. While productivity improvements are “nice,” they don’t necessarily equate to better, more effective, or more relevant outcomes. Focusing your GenAI initiatives on improving productivity is missing the more significant economic opportunity: the opportunity to leverage GenAI and Artificial Intelligence (AI) in general to create new sources of customer, product, service, and operational value.

The empowering capabilities to leverage GenAI tools, such as OpenAI ChatGPT, to fuel the creativity and imagination necessary to drive creativity and innovation include (Figure 1):

• Magnify Creative Problem Solving: ChatGPT can generate unique insights and solutions, helping teams think outside conventional frameworks and encouraging innovative problem exploration and problem-solving. For example, ChatGPT can assist in diagnosing complex medical cases by synthesizing patient data with the latest research, suggesting novel treatment approaches that were not immediately evident to practitioners.
• Accelerating Idea Generation: By understanding and manipulating large datasets, ChatGPT facilitates rapid ideation processes, turning data into actionable and creative business ideas. For example, ChatGPT can analyze consumer feedback and market trends in the automotive industry to help manufacturers ideate new vehicle features that align with evolving consumer preferences.
• Enhancing Decision Making: ChatGPT supports more informed and innovative decision-making by providing data-driven insights and predictions, enabling businesses to stay ahead in competitive markets. An example is finance, where ChatGPT can aid investment firms and wealth managers by analyzing vast amounts of market data to forecast trends and inform investment strategies that outpace average market returns.
• Customizing User Experiences: ChatGPT can tailor interactions and services to individual user preferences, driving personalization to new heights and creating unique customer experiences. In e-commerce, ChatGPT can power chatbots that provide personalized shopping advice based on a user’s browsing history and purchase behavior, significantly improving customer satisfaction and loyalty.
• Facilitating Continuous Learning and Improvement: Through its iterative learning capabilities, ChatGPT continuously evolves, adapting to new data and emerging trends, thereby perpetually enhancing its innovation potential. In education, ChatGPT can support personalized learning by adjusting content and pacing according to student performance and feedback, continuously improving educational outcomes.

Figure 1: Unleashing Innovation with GenAI

GenAI Creativity Exercise

I decided to see just how creative ChatGPT could be. So, I posed ChatGPT the following challenge:

“Create an airplane structure to get passengers onto and off airplanes more quickly and comfortably. Think outside the box and explore novel ways to solve that challenge.”

ChatGPT came up with an impressive list of product and service features to address this challenge, including:

• Dual-Level Boarding: Equip airplanes with entrances at both the front and rear and at multiple levels (upper and lower decks). This can reduce bottleneck effects at the door and speed up boarding and deboarding processes.
• Slide-Deployable Entrances: Introduce slide-deployable, extendable bridges that connect the terminal directly to multiple airplane doors simultaneously, allowing passengers to board from various points.
• Modular, Pre-Seated Passenger Modules: Develop detachable cabin modules where passengers can be pre-seated while waiting in the terminal. These modules would then be slotted into the airplane’s fuselage. This approach would minimize the time spent boarding and settling into onboard seats.
• Rotating Seating Modules: On the plane, rotating seat modules can turn towards the aisle to make seating faster and easier, especially for window seats. Once passengers are seated, the modules rotate back into position.
• Wider Interior Aisles: Design aisles to be temporarily expandable during boarding and deboarding, possibly by having retractable seats that can increase aisle width when needed.
• Multiple Aisle Configurations: Implement two or even three aisles in larger aircraft to reduce the distance passengers need to travel to reach their seats.
• Dynamic Seat Assignment: Use an AI-driven system to assign seats dynamically based on passenger check-in time. Group passengers in the same boarding area to minimize cross-aisle traffic and delays. This system can adapt in real-time to optimize the flow.
• Efficiency-Driven Boarding Strategies: Develop algorithms that determine the most efficient boarding order based on current passenger data and seat configuration, potentially updating in real time as passengers check in.
• Smart Overhead Bins: Implement overhead bins with automated packing solutions, where robotic systems scan and arrange bags to optimize space and reduce passengers’ time storing luggage.
• Augmented Reality Passenger Guidance Systems: Equip the aircraft and terminals with AR (augmented reality) systems to guide passengers directly to their seats via the quickest route and inform them of bin space availability.
• Personalized Boarding Assistance: Offer wearable tech or apps that send passengers personalized notifications about boarding times, gate changes, seat assignments, and directions for quick boarding.

I especially liked rotating seating modules (no longer have to salmon swim up the aisles), smart overhead bins (give you my carry-on bag as I enter the plane, and hand it back to me when I get off), and AR passenger guidance systems (think about how cool it would be to wear something like the Apple Vision Pro to help get you onto and off airplanes more quickly). Count me in!!

Then, I asked ChatGPT to draw an image of the aircraft that would support these innovative features.

Figure 2: ChatGPT Original Designed Airplane to Accelerate Passenger Onboarding and Deplaning

YIKES!! I had to make a series of suggestions – such as creating an architecture that would actually fly – until ChatGPT finally came up with this design:

Figure 3: ChatGPT Refined Designed Airplane to Accelerate Passenger Onboarding and Deplaning

This design is closer to reality without losing the sense of creativity and innovation. Although I would never fly in an airplane designed solely by ChatGPT, I would be eager to see how a team of airplane engineers, technicians, and architects could use ChatGPT to enhance their expertise and creativity to create an innovative aircraft design that helps me get on and off airplanes more quickly.

Summary

We have an excellent opportunity to use GenAI / AI to go beyond just improving productivity. While useful productivity may not always lead to more effective or relevant results. Instead, we should direct our GenAI / AI efforts toward promoting innovation and generating new sources of value in customer interactions, product development, services, and operational efficiencies.

For example, I worked with ChatGPT to explore new ways of designing an airplane structure that would make the boarding and deboarding processes more efficient. ChatGPT suggested several creative features, such as dual-level boarding, slide-deployable entrances, and modular pre-seated passenger modules to reduce bottlenecks and enhance efficiency. Although the initial designs were not optimal, our collaboration eventually led to something more practical. This demonstrates how AI-powered creativity can help reimagine traditional systems and structures in aviation, potentially transforming them for the better. It also shows the practical implications of AI-driven innovation in real-world scenarios.

Zoho chief Sridhar Vembu said that he agrees with the opinion of Ola chief Bhavish Aggarwal that India needs to resist the West’s woke imperialism.

“I agree with Bhavish. We in India have to strongly resist this woke imperialism – it is best understood as a fanatical religious doctrine that masquerades as a socio-political movement,” replied Vembu to Aggarwal’s lengthy post on X where he expressed his concerns about the dominance of Western companies in the tech industry and their impact on Indian society.

This comes after LinkedIn deleted Aggarwal’s post where he pointed out that the platform’s AI chatbot used wrong pronouns for him which Aggarwal referred to as ‘Pronoun Illness’

Aggarwal criticised the Western concept of “pronouns” and its imposition on Indian society. He expressed his concerns about the impact of Western social media platforms on Indian culture and the need for Indian tech companies to build their own platforms.

“The pronouns issue is a woke political ideology of entitlement that doesn’t belong in India,” Aggarwal wrote. “I wouldn’t have waded into this debate but clearly LinkedIn has presumed Indians need to have pronouns in our life, and that we can’t criticise it.”

Aggarwal took a strong stance against the Western concept of gender inclusivity, which he believes is being imposed on Indian society. “We don’t need lectures from Western companies on how to be inclusive,” Aggarwal wrote, saying Indian culture didn’t need pronouns to be inclusive for thousands of years.

Aggarwal also highlighted popular ride-hailing service’s efforts to promote diversity and inclusivity in the workplace. He noted that Ola has one of the largest women-only automotive plants in the country, with almost 5,000 women employees and plans to expand to tens of thousands in the coming years.

He argued that Indian culture has always been inclusive and respectful of all genders, citing the example of transgenders being accorded special respect in ancient Indian society.

Ola Plans to Stop Using Microsoft Azure

Furthermore, Aggarwal, announced that Ola has decided to move its entire workload out of Azure to their own Krutrim cloud within the next week.

“Since LinkedIn is owned by Microsoft and Ola is a big customer of Azure, we’ve decided to move our entire workload out of Azure to our own Krutrim cloud within the next week. It is a challenge as all developers know, but my team is so charged up about doing this,” wrote Aggarwal.

He further offered a full year of free cloud usage to any developer who wants to move out of Azure and wants to join Krutrim AI cloud.

Besides Vembu, Unacademy chief Gaurav Munjal also supported Aggarwal’s stance. “This is so fucked up on LinkedIn’s part,” replied Munjal.

“Indian civilization has a long history of inclusiveness regarding gender. However, the woke alphabet ideology promoting a pseudo-scientific view of gender is in conflict with both science and Indian ethos, “ wrote BJP leader Tejasvi Surya.

However, not all agreed.

“Does he think people who deploy and run companies’ cloud or work in AI are as stupid as consumers who buy two wheelers?” wrote Kissan AI founder Pratik Desai.

“Why does it sound like a pre-planned marketing campaign for launching Krutrim cloud? You can’t have these things done overnight for sure. Good way to grab attention, wrote another user on X.

The irony is that Aggarwal will need to buy GPUs to build Krutrim AI cloud, and it’s most likely that Intel (Western company) is providing that. Not to forget, Krutrim is currently using Databricks services to streamline data for its model, and as far as building models go, it is most likely using DBRX as well.

The post Zoho’s Sridhar Vembu Joins Ola CEO Bhavish Aggarwal’s Rant Against LinkedIn and Microsoft’s ‘Wokeness’ appeared first on Analytics India Magazine.

In what could potentially redefine the current use of personal AI assistants, a Chennai and Singapore-based start-up HaiVE will be launching HaiVE AI Studio this weekend.

Speaking to AIM ahead of its launch, HaiVE co-founder Arjun Reddy asked what if you had something similar to Plex but for AI? “Imagine being able to do that for AI. We have created a tool that you can install on your laptop or desktop. Once you are signed up and signed in, your home PC is the one running the AI server, so when you’re outside on your phone, you can question and talk to your own home AI server,” he said.

With GPUs becoming increasingly powerful, Reddy said that any laptop with a discrete GPU could run the server efficiently. “Because it is your own home server, you can throw in really sensitive information into it in the RAG folder that we give you,” he said.

Interestingly, HaiVE was also the startup behind Malar, the first-ever autonomous AI university professor in the world. Currently, the startup has plans to forge a partnership with the Mauritius government in allowing the use of Malar for all their university students.

HaiVE specialises in on-premise AI solutions, working with businesses and companies in order to help set up their own servers, without having to rely on cloud services. They’re also working with universities in India to help create digital twins of professors to help teach students even during off hours.

Taking that to the next level seemed like the logical thing to do, with Reddy describing the software as basically having your own J.A.R.V.I.S.

“Your medical records, your financial records, your electricity bills, etc. It’ll be able to look through all of that and it’ll be able to build a digital twin of your life,” he said, with future plans to install agents that can make phone calls on your behalf to fix plans or get updates.

“We have our own registry, a DDNS, where you can sign in, and open it up to the public or to these email IDs, whom you know as friends. So when they sign in with their email IDs, they will be shown your server as a list of service providers, and they can choose that and they can ask questions to it and your server will be the one doing the inference for them,” Reddy said.

HaiVE AI Studio will be launched this weekend at the Mauritius Emerging Tech Expo 2024.

The post Chennai-Based Startup Behind First AI University Professor Launches Personal AI Home Studio appeared first on Analytics India Magazine.

Still stuck writing lines of code the old-fashioned way or fixing bugs solo? AI is changing how we code and tapping into the power of AI coding assistants can be a game-changer.

From offering savvy suggestions, automating mundane tasks, and supercharging your coding mojo, these 10 tools fueled by AI will help you level up!

Tabnine

Source: Tabnine

Tabnine is an AI-driven coding assistant that enhances developer productivity by quickly generating code, predicting subsequent lines, and offering smart completion suggestions.

It supports numerous programming languages and IDEs, including VS Code, IntelliJ, and Android Studio, making it highly versatile. Key features include generating code from prompts, autofilling classes and variables, recommending bug fixes, and creating documentation and test cases.

The tool is SOC-2 compliant, ensuring that it maintains code security within your existing environment. A standout feature is its customization to each user’s unique coding style, blending gen AI with personal patterns.

This enables it to predict and suggest context-specific code, streamlining repetitive tasks and enhancing code quality. Tabnine’s deep learning algorithms provide tailored suggestions across more than 20 programming languages including Python, Java, JavaScript, PHP, Go, and Rust among others.

It’s free to start, with a full-featured version available for $12 per month.

Codiga

Codiga provides real-time error checking and code analysis without disrupting existing code. It supports a wide array of programming languages including PHP, C++, Java, and Python and ensures high-quality software development.

Codiga offers a comprehensive report on code quality and can identify, analyze, and suggest fixes for various coding issues. It excels in auto-fixing codes and focuses heavily on security, making it ideal for managing complex codebases.

Its integration with popular development environments and support for over 12 programming languages, coupled with over 2000 analysis rules, including dependency scanning and security analysis, make Codiga a valuable tool for developers.

A free individual plan is available and a paid plan starts from $14 per month.

Replit

Replit, an AI-based online coding platform, facilitates collaborative coding and learning. Its standout feature, Ghostwriter, offers contextually relevant code suggestions, enhancing coding efficiency and readability.

Users can instantly start projects in any language and share them globally with ease. Ghostwriter streamlines coding tasks, from auto-completion to error detection, fostering learning within documents.

Replit’s AI assistance aids both beginners and experienced developers, speeding up coding processes. The tool can conduct multiple complex coding problems at a single time and also provides unlimited public replies.

It is free for individual use and subscription options include a Hacker plan priced at $7 per month and a Pro plan at $20 per month.

GitHub Copilot

GitHub Copilot is highly favored for its ability to write high-quality code using natural language prompts. It supports a broad range of programming languages including Python, JavaScript, C++, and TypeScript, and integrates seamlessly with popular IDEs like Visual Studio Code and JetBrains.

It not only automates boilerplate code but also provides suggestions for code completion, debugging, and spotting potential security risks. It’s particularly useful for learning new programming languages and enhancing productivity.

According to the Stack Overflow 2023 Survey, over 50% of developers prefer GitHub Copilot, and it is used by one in three Fortune 500 companies and over 50,000 businesses globally.

For individuals, pricing starts at $10 per month, while business plans begin at $19 per month. The tool has recently launched mobile versions for Android and iOS soon, which will further its accessibility and utility.

AskCodi

AskCodi is a valuable AI coding assistant for developers, designed to streamline the coding process by eliminating unnecessary tasks and boosting productivity. It supports a range of programming languages, including JavaScript, MySQL, Kotlin, and C++, and is compatible with multiple IDEs like VS Code, PyCharm, and IntelliJ IDEA.

Powered by OpenAI Codex, AskCodi excels in generating code, answering programming queries, and providing code suggestions directly within your IDE.

The tool supports various natural languages such as English, Spanish, and German, and features a unique Codi WorkBook. This interactive environment is ideal for both beginners and experienced developers, offering functionalities like code generation, explanation, and documentation creation.

The membership pack costs $9.99 a month and is free for personal use.

Snyk

If your primary role in software development is to identify issues and vulnerabilities, Snyk is an excellent free AI tool for this purpose. It utilizes ML and various analytical techniques to detect problems in both human-written and AI-generated code.

The tool quickly scans code, identifies errors, and suggests fixes. It integrates into existing development tools and workflows, making security a seamless part of the development process. Snyk provides comprehensive security testing and real-time alerts to ensure that security issues are addressed promptly, thereby minimizing risks.

The platform supports multiple programming languages. Notably, even Google Cloud’s AI-powered developer assistant, Gemini Code Assist, relies on Snyk to ensure the generation of secure code.

It offers a free plan for individual developers and $25/month for the development teams.

Amazon CodeWhisperer

Amazon CodeWhisperer is a ML powered AI coding assistant that enhances developer productivity by generating high-quality code. It supports multiple IDEs and programming languages, offering real-time, comprehensive code suggestions.

The tool is particularly adept at identifying and suggesting fixes for bugs, ensuring code accuracy and security. CodeWhisperer’s integration with various development environments makes it a versatile choice for developers, especially those using AWS.

It promotes efficient, secure coding practices by leveraging a vast dataset of open-source code and providing up-to-date industry standard suggestions.

Recently, Amazon CodeWhisperer has transformed into ‘Q Developer’ with expanded functions and capabilities.

It is free for individuals and has a professional plan which starts from $19 per month.

Sourcegraph Cody

Sourcegraph Cody enhances workflow efficiency and understanding of code bases. It simplifies coding by generating precise codes from natural language prompts and streamlining complex coding tasks.

Cody offers features like bug detection, documentation generation, and code interpretation. It integrates with popular IDEs such as VS Code and JetBrains, providing real-time code completion and context-aware answers.

Ideal for both beginners and seasoned developers, Cody helps locate and understand code across repositories and branches efficiently, making coding less intimidating and more accessible.

It is free for individual use.

Codeium

Compatible with popular IDEs and supporting 20+ languages, Codeium, an AI-powered code completion tool, simplifies navigation through unfamiliar codebases, sparing developers from intricate syntax details.

Key features include seamless integration with preferred environments, effortless navigation of complex codebases, and enhanced coding speed and accessibility.

It is free for individual users and $12 per month for teams.

WP Code

WPCode simplifies code injection into WordPress headers and footers. It’s grown from a snippet tool to a Google Tag Manager alternative, with free and pro versions. The pro version tracks changes and creators, aiding accountability and recovery.

Features include easy snippet insertion, AI-driven code generation, and tailored WordPress snippets. It’s user-friendly for beginners and developers, offering a hassle-free way to implement code without complex theme file edits.

The post Top 10 AI Must-Know Coding Assistant Tools for Developers appeared first on Analytics India Magazine.

Sam Altman recently proposed ‘Universal Basic Compute,’ in which everyone would have access to a portion of GPT-7’s computing resources.

“I wonder if the future looks something more like Universal Basic Compute than Universal Basic Income, and everybody gets like a slice of GPT-7 compute,” said Altman, in the recent episode of the All-in podcast.

He said that this would not be in the form of money but as a share of productivity that could be used, sold, or even donated for initiatives like cancer research, etc.

Altman said that they began exploring Universal Basic Income (UBI) around 2016. “About the same time, we started taking AI really seriously,” he added, considering the potential changes AI might bring to society, employment, the economy, and even social contract.

“I am not like a super fan of how the government has handled most policies designed to help poor people, and I kind of believe that if you could just give people money they would make good decisions, and the market would do its thing,” reminisced Altman, saying that he is pretty much in favour of lifting up the poor and eliminating poverty.

He believes that the existing social safety net is broken. “Giving people money is not going to solve all the problems. It is certainly not going to make people happy. But it might solve some problems. It might give people a better horizon with which to help themselves,” said Altman, adding that things are now changing and there should be better things to do than traditional UBI.

This new development also comes in the backdrop of Altman’s controversial statement: “I don’t care if we burn 50 billion a year, we’re building AGI.”

“Whether we burn $500 million, $5 billion, or $50 billion a year, I don’t care. I genuinely don’t as long as we can stay on a trajectory where eventually we create way more value for society than that and as long as we can figure out a way to pay the bills,” he said.

Meanwhile, OpenAI is gearing up to make some major announcements next week. “Not GPT-5, not a search engine, but we’ve been hard at work on some new stuff we think people will love! Feels like magic to me,” said Altman.

Sources reveal that it is likely to release an AI voice assistant that enables a human-like interaction with better logical reasoning capabilities and reduced latency, mostly powered by GPT-4-Lite, GPT-4-Auto, and GPT-4-Lite-Auto.

The post Sam Altman Proposes ‘Universal Basic Compute’ for Global Access to GPT-7’s Resources appeared first on Analytics India Magazine.

In a recent interview at the Bloomberg Technology Summit in San Francisco, Whitney Wolfe Herd, the founder and executive chair of Bumble, emphasised the company’s commitment to leveraging AI to cultivate healthier and more equitable relationships.

“Our focus with AI is to foster healthier, more equitable relationships, beginning with self-improvement. For example, in the near future, you might be able to consult an AI dating concierge about your insecurities, such as recent breakups or commitment issues, and receive guidance on improving your self-perception and communication skills.”

“If you want to get really out there. There is a world where your dating concierge could go and date for you with other dating concierges,” Herd said.

However, the Bumble Founder acknowledged the dual nature of AI’s impact on relationships. While it can potentially assist users in flirting and crafting engaging messages, there are concerns about individuals forming attachments to AI-driven personas or encountering deceptive practices.

A recent incident shared by a woman in Bengaluru underscored these concerns, where she recounted being impressed by a date who might have used AI during their conversation. But she realised he was a ‘dull man’ when interacting in person.

Herd highlighted the potential for AI concierges to facilitate matchmaking by interacting with counterparts to identify highly compatible matches, underscoring the alignment of AI with Bumble’s values.

“Envision a scenario where your AI concierge assists you and interacts with other dating concierges to streamline your dating process, narrowing down potential matches to the most compatible few. This illustrates the potential of AI when aligned with our core values,” Bumble Founder explained.

Interestingly, a shift is underway among Gen Z and millennials, who increasingly incorporate AI into their dating lives. According to a report by Cosmopolitan magazine and dating app Bumble, over three-quarters of millennials and 81% of Gen Z are open to using AI bots to spice up their flirting game on dating apps.

Looking ahead, Bumble aims to be the go-to platform for individuals seeking meaningful connections that align with their experiences and aspirations.

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