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TECHNOLOGY

Leveraging the Potential of Generative AI to Drive Business Success

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Leveraging the Potential of Generative AI to Drive Business Success

In the evolving digital landscape, the term “artificial intelligence” (AI) is no longer an alien concept.

What’s more intriguing is the advent of generative AI that’s poised to revolutionize various business sectors.

However, the inevitable question arises: Will the rise of generative AI pose a threat to the job market? As a futurist and Anticipatory Thinker, I propose that generative AI will not eliminate jobs but instead transform the nature of human work and create new roles that offer significant advantages for businesses in all industries!

In turn, this will lead to logical anticipatory action and launch organizations into the future in proactive ways.

Generative AI and How It Triggers Our Fears

Before even the most Anticipatory Leader reads the aforementioned declaration and tries to leverage generative AI to their organization’s advantage, let’s first take a step back here and define what generative AI is exactly.

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In essence, generative AI represents a distinct subset within the broader realm of conventional artificial intelligence applications that are commonly encountered and recognized. Instead, it uses human input to understand and learn from queries in order to generate new content such as text, images, and other media.

ChatGPT from OpenAI is an instance of generative AI that serves as a prominent illustration in the real world. This emerging application has swiftly gained prominence in the digital realm. Essentially, ChatGPT operates by receiving inquiries or prompts from humans and utilizes existing datasets and past queries to generate content in response.

Unfortunately, many businesses and individuals are viewing ChatGPT and other such applications as a disruption — a threat to the status quo. They believe that jobs will be lost and whole industries disrupted. And while they aren’t entirely wrong, I do wish to challenge the overall negativity of that notion!

The Hard Trend of Generative AI

Generative AI is a Hard Trend without question, as it is a future certainty that it is not going away, will not slowdown in its development, and will only increase in usage and adaptation for all kinds of purposes, just as we have incorporated other types of AI into our lives already.

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Bigger technology companies have already quickly adapted to the Hard Trend of generative AI, leveraging the Soft Trend of how generative AI is used to their advantage. For instance, Google recently created its own AI chatbot called Bard in response to ChatGPT, while Snapchat incorporated a generative AI application into its app called My AI.

As such, by not embracing this new technology, you are only opening your business up to disruption in both small and quantifiable ways.

Drive Innovation and Efficiency

One major step in the right direction is to stop viewing generative AI as something that will just fizzle and fall away eventually. The current application of generative AI in ChatGPT is only the beginning and may dissipate; however, more applications will arise, even right in your industry. It is up to you to look at it for what it really is: The future of driving innovation and efficiency.

Generative AI has the ability to significantly enhance innovation in product design and development. AI algorithms can analyze vast amounts of data lightning fast in comparison to how the human mind processes it. In doing so, generative AI identifies patterns and generates innovative ideas that humans may overlook due to any number of factors, whether that be burnout or misunderstandings.

The Chinese company Haomo recently launched an AI driving platform called DriveGPT that is more efficiently predicting driver behavior and furthering the advancement of autonomous driving features. With this generative AI, DriveGPT can better synthesize data for more comprehensive cognitive decision-making by quickly generating numerous real-world driving scenarios.

Better Customer Service from Automated Technology

This use case can also be applied to other industries, streamlining processes by automating repetitive tasks that wear down the patience of a human being.

AI algorithms can generate reports, create content, or even code software, freeing up human workers for more creative and strategic roles. By reducing the time spent on mundane tasks, businesses ultimately increase productivity and efficiency in ways many wish existed years prior!

In the realm of customer service, generative AI is an iconic way to provide personalized interactions by leveraging customer data and predicting customer behavior. This is something that is currently being done by the company Cogito. AI-powered chatbots can handle multiple queries simultaneously, offer instant responses, learn from past interactions to improve future responses, and use a specific tone of voice and unique words.

Job Creation, Not Elimination

Especially with regard to that last example, I know there are many going “hey, that’s replacing my job. You said it wouldn’t eliminate jobs!”

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In many cases, all generative AI eliminates is the current nature of some jobs. For example, while the demand for human presence in customer service careers will persist, the requirement to work overnight shifts to handle helpline inquiries will diminish.

The fear that generative AI will render humans jobless on all fronts is based on the misconception that generative AI is a replacement rather than a tool. While generative AI will indeed automate certain tasks, it does not necessarily lead to widespread job loss. As AI takes over repetitive tasks, it frees up human workers for roles that require unique human skills, including critical thinking, creativity, and emotional intelligence.

Generative AI can aid in decision-making by providing data-driven insights quickly. In turn, businesses can make more informed decisions and use those results creatively! Now, humans can save their skills and energy for where it really counts while staying ahead of the competition.

It Takes All of Us

Strategic implementation of generative AI offers numerous benefits to businesses, encompassing innovation, efficiency, improved customer experience, and informed decision-making. Interestingly, the capacity of generative AI to personalize customer experiences aligns with my concept of anticipatory thinking.

However, the crucial aspect, particularly when utilizing it in an anticipatory manner, is to perceive generative AI as a tool, much like an office worker views their email or a plumber views a pipe wrench. The integration of generative AI should aim to augment human skills instead of replacing them. This initiative begins with you, as a business leader, seeking ways to incorporate AI and leverage its potential alongside your workforce, without eliminating routine tasks or downsizing your team.

As generative AI transforms the landscape of work, jobs will naturally evolve, and job descriptions will undergo changes. However, the demand for human talent will forever endure. Therefore, it is essential to embrace an anticipatory mindset today, seeking innovative ways to harness the potential of both human capabilities and generative AI.

Take your business to new heights with Daniel Burrus’s strategy session on Unlocking the Power of AI. Assess your processes, identify areas for AI impact, and overcome potential challenges. Engage your team and gain an understanding of the benefits and hurdles of AI integration. Don’t miss this opportunity to unlock the power of AI and propel your business forward.

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TECHNOLOGY

Next-gen chips, Amazon Q, and speedy S3

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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

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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.

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.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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TECHNOLOGY

Canonical releases low-touch private cloud MicroCloud

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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.

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.

Tags: automation, Canonical, MicroCloud, private cloud

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