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How AI and Data Can Drive Business Success

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How AI and Data Can Drive Business Success

Artificial intelligence (AI) and data analytics are transforming the way businesses operate in the digital age.

By leveraging these technologies, companies can gain valuable insights, optimize their operations, and improve their bottom line. However, to fully realize the potential of AI and data, it is essential to understand how they can be used to drive return on investment (ROI). 

Welcome to this week’s CXO Spice on “AI, Data and ROI”, featuring Kavitha Prasad , VP and GM, Data Center & AI, Cloud Execution and Strategy (DACES) at Intel Corporation.

Kavitha shared insights on Intel’s AI strategy and execution, the 4th Gen Intel® Xeon® Scalable CPU’s performance against its competition, and Intel’s commitment to democratizing AI. She also shared thoughts on solving some of the challenges facing the industry today.

Here are some key takeaways from our conversation:

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  • Technology must deliver business value to enable scaling, cost reduction and new service delivery.

  • The demand for processing power from AI and data is growing, and the 4th Gen Intel® Xeon® scalable processors offer superior performance and power efficiency, thanks to their numerous built-in accelerators.

  • Intel is committed to making AI accessible to everyone, whether it’s in the cloud, at the network or edge.

  • Greater CPU efficiency leads to lower electricity consumption, making Intel’s technology more environmentally friendly.

  • Intel’s processors will play a crucial role in meeting the demands of the future, which will require faster and more agile technology.

Learn more from Kavitha here

In this article, we will explore how AI and data can drive business success by increasing efficiency, improving decision-making, and enhancing customer experiences. We will also examine examples of companies that have successfully implemented AI and data analytics to achieve significant ROI.

The Role of AI and Data in Business Operations: Streamlining Processes and Increasing Efficiency

Artificial intelligence and data analytics can help businesses streamline their operations and improve efficiency. With the ability to automate routine tasks, AI can save businesses time and money, while reducing the risk of errors. For example, AI can help with inventory management, supply chain optimization, and logistics planning. By analyzing data and identifying patterns, AI can help businesses make better decisions, allocate resources more effectively, and respond quickly to changes in demand.

Optimizing Decision-Making with AI and Data: Real-Time Insights and Predictive Analytics

Real-time insights and predictive analytics can provide businesses with a competitive advantage. By leveraging AI and data analytics, businesses can gain valuable insights into customer behavior, market trends, and other key factors that impact their bottom line. This can help businesses make more informed decisions, develop more effective strategies, and identify new opportunities for growth. For example, AI and data analytics can be used for predictive maintenance in manufacturing, enabling companies to detect potential equipment failures before they occur.

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Source: Deloitte

Enhancing Customer Experiences: Personalization and Predictive Modeling

AI and data analytics can also help businesses enhance their customer experiences. By analyzing customer data, businesses can gain insights into customer preferences and behavior, enabling them to deliver more personalized products and services. For example, e-commerce companies can use AI to recommend products to customers based on their browsing and purchase history. Predictive modeling can also help businesses anticipate customer needs and preferences, enabling them to stay ahead of the competition.

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Leveraging AI and Data to Drive Sales: Targeted Marketing and Sales Forecasting

Artificial intelligence and data analytics can help businesses drive sales by providing insights into customer behavior and preferences. By analyzing customer data, businesses can develop targeted marketing campaigns that are more likely to resonate with their target audience. Sales forecasting can also help businesses predict demand for their products or services, enabling them to better allocate resources and plan for future growth.

Managing Risks and Ensuring Compliance: The Role of AI and Data in Risk Management

AI and data analytics can help businesses manage risks and ensure compliance with regulations.

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Source: F2 Strategy

By analyzing data and identifying potential risks, businesses can take proactive measures to mitigate those risks and prevent potential losses. For example, financial institutions can use AI to detect fraudulent activity and prevent financial crimes.

The Future of AI and Data: Predictions and Possibilities for Business

The future of AI and data is bright, with many exciting possibilities for business. As AI and data analytics continue to evolve, businesses can expect to see even more benefits, from improved efficiency and productivity to enhanced customer experiences and new opportunities for growth. However, it is also important for businesses to be mindful of the ethical and social implications of AI and data, and to use these technologies responsibly and ethically to maximize their potential for positive impact.

What’s Next for AI, Data and ROI?

Artificial intelligence and data analytics have the potential to revolutionize business operations and drive significant ROI. From streamlining processes and optimizing decision-making to enhancing customer experiences and driving sales, the benefits of these technologies are clear. However, to achieve maximum ROI, it is essential to implement AI and data analytics strategically and responsibly, with a focus on delivering value to customers and stakeholders. As we look to the future, it is clear that AI and data will play an increasingly important role in business operations, and those that can effectively harness these technologies will be well-positioned for success.

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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.

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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.

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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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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.”

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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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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.

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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.

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Tags: automation, Canonical, MicroCloud, private cloud

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