TECHNOLOGY

Unleashing the Power of Generative AI

Published

10 months ago

August 25, 2023

Generative AI has propelled innovation to new dimensions by enabling machines to create content, mimic human behaviors, and contribute to creative endeavors.

Rooted in neural networks, generative AI employs deep learning algorithms to generate outputs that imitate existing data patterns or produce entirely new and imaginative outcomes. This article unravels the multifaceted capabilities of generative AI and delves into its applications across various domains, highlighting its potential to reshape industries and redefine human-machine collaboration.

Understanding Generative AI: From Adversarial Networks to Variational Autoencoders

Source: Marktech Post

At the core of generative AI lie two prominent architectures: Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GANs operate through a competition between two neural networks—a generator and a discriminator—where the generator crafts data to deceive the discriminator, resulting in the creation of authentic-looking outputs. VAEs, on the other hand, work on probabilistic models to decode latent variables, allowing for controlled generation of data that adheres to specific attributes.

Revolutionizing Image Generation and Style Transfer

Generative AI has revolutionized image synthesis, enabling the creation of photorealistic images that defy detection from their authentic counterparts. Style transfer techniques leverage generative models to imbue images with artistic styles, facilitating the transformation of photographs into vivid works of art. Moreover, generative AI has empowered the development of image-to-image translation, facilitating transformations between different visual domains while preserving essential content.

Crafting Coherent Texts and Dialogues

The prowess of generative AI extends to natural language generation, generating coherent and contextually relevant text. Language models such as GPT-3 have demonstrated the ability to produce human-like narratives, summaries, and even engage in dialogue interactions. This has implications across industries, from automated content creation to virtual assistants that engage users in seamless conversations.

Innovating Beyond Creation and Design

Generative AI transcends mere replication and imitation, venturing into the realm of novel creation.

Source: HSBC Global Research

By training on vast datasets, these models can generate entirely new content, such as artwork, music compositions, and even scientific discoveries. This capacity to extrapolate from existing data patterns introduces a novel dimension of innovation and creativity.

Challenges and Ethical Considerations of Generative AI

While generative AI holds immense promise, it is not without its challenges. The potential for generating misleading or malicious content raises ethical concerns. Ensuring the responsible use of generative AI requires robust safeguards to prevent misuse and misinformation propagation.

What’s Next with Generative AI?

In the ever-evolving landscape of artificial intelligence, a revolutionary force is reshaping the boundaries of innovation – Generative AI.

This trend holds the potential to transform industries, redefine workflows, and usher in an era of unparalleled progress. In a recent CXO Spice show, I had the privilege of hosting an illuminating conversation with Mindy Cancila, Vice President of Corporate Strategy at Dell Technologies. We set forth on an expedition into the realm of Generative AI, delving into its significant ramifications for both business and society on a grand scale.

Here are my key takeaways:

Strategic Integration for Industry Disruption: Dell is at the forefront of embracing Generative AI for strategic industry disruption. By forming strategic partnerships and alliances, Dell is engineering solutions that elevate customer experiences while streamlining operational efficiency. As Mindy aptly emphasized, adopting Generative AI transcends mere technology – it’s about reshaping entire industries.
Proactive Technology Adoption: In the swiftly evolving tech landscape, staying ahead is paramount. Dell’s proactive approach to technology adoption ensures their soutions are at the pinnacle of innovation. Mindy underscored the significance of charting a clear strategic path, identifying specific use cases, and embarking on deliberate steps for non-mission-critical initiatives. This transformative journey holds the promise of remarkable outcomes.
Customized Solutions for Diverse Industries: Industries are as diverse as the challenges they face. Dell’s acumen lies in tailoring AI solutions to address unique industry needs. This bespoke approach empowers Dell to deliver impactful outcomes across a spectrum of sectors – from manufacturing to healthcare and beyond.
Data Privacy and Security: In an era defined by the AI revolution, data privacy and security are paramount. Dell’s unwavering commitment to safeguarding customer data and nurturing trust takes center stage. Mindy delved into the intersection of Generative AI with workforce diversity and culture. Responsible AI deployment transcends technology, encapsulating the alignment of AI models with values of diversity, equity and inclusion.
Driving Cultural Shifts: Generative AI is a catalyst not only for industry transformation but also for cultural shifts within organizations. By infusing diverse perspectives and values into AI training, Dell aims to craft models that mirror their commitment to fostering diversity, equity, and inclusion. This trailblazing approach exemplifies technology’s potential to drive positive change beyond its immediate applications.

Envisioning a world defined by more intelligence and less artificiality. As we progress towards this ideal, Generative AI stands as a beacon of this transformation. My conversation with Mindy offers a glimpse into how Dell is navigating this dynamic landscape, with Generative AI serving as a pivotal catalyst. Stay tuned for more thought-provoking discussions, insights, and updates on the remarkable potential of Generative AI and its influence on the future.

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TECHNOLOGY

Next-gen chips, Amazon Q, and speedy S3

Published

7 months ago

December 1, 2023

Max

AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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TECHNOLOGY

HCLTech and Cisco create collaborative hybrid workplaces

Published

7 months ago

November 29, 2023

Max

Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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TECHNOLOGY

Canonical releases low-touch private cloud MicroCloud

Published

7 months ago

November 28, 2023

Max

Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Tags: automation, Canonical, MicroCloud, private cloud

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