August 04, 2022
Kannan Subbiah
FCA | CISA | CGEIT | CCISO | GRC Consulting | Independent Director | Enterprise & Solution Architecture | Former Sr. VP & CTO of MF Utilities | BU Soft Tech | itTrident
Unlike neural networks, expert systems do not require up-front learning, nor do they necessarily require large amounts of data to be effective. Yes, expert systems can and do absolutely learn and get smarter over time (by adjusting or adding rules in the inference engine) but they have the benefit of not needing to be “trained up front” in order to function correctly. Capturing planning knowledge can be a daunting task and arguably very specific and unique to individual organizations. If all organisations planned using the same knowledge e.g., standard sub-nets, then we could simply put our heads together as an industry and establish a global “planning bible” from which we could all subscribe. This of course isn’t the case and so for a neural network to be effective in helping us in project planning, we would need to mine a lot of data. Even if we could get our hands on it, it wouldn’t be consistent enough to actually help with pattern recognition. Neural networks have been described as black boxes — you feed in inputs, they establish algorithms based on learned patterns and then spit out an answer.
Generally, Python is seen as an easy-to-learn software language thanks to its simple syntax, extensive library of guidelines and toolkits, and its compatibility with other prominent programming languages, including C and C++. Its popularity is demonstrated by its ranking in TIOBE and PYPL Index?in 2021: Python was the leading programming language. Companies like Intel, Facebook, Spotify, and Netflix are still using the best python developers to take advantage of this language’s extensive libraries. ... Although GO is somehow similar to C in syntax, it’s a unique language that offers excellent memory protection and management functionality. It is likely that GO’s popularity will continue to rise as it’s used to design systems that use artificial intelligence, just like Python. ... It's no wonder Java is so popular; getting started with this language is fairly simple, and it boasts a high level of security. Furthermore, it’s capable of handling large amounts of data. The technology is used in a variety of applications on almost all major systems like mobile, desktop, web, artificial intelligence, cloud applications, and more.
“Ampere is designing for a completely different goal,” to its rivals, says Dylan Patel, a chip industry analyst from SemiAnalysis. “Intel is targeting a wider net of people, versus what Ampere is going for, which allows them to make certain sacrifices and gain benefits from that,” he says. Though the company’s chips have a “weaker and smaller CPU core” than some of the x86 processors designed by Intel and AMD for servers, Patel says this means the chips themselves are smaller, and that as a result power usage is lower and the chips are more efficient. “That’s a big deal” for data centre operators, he says. Patel adds: “Renee realised this needed to be done much earlier than most of the cloud providers themselves. Amazon figured out they needed to build CPUs like this, but the others did not, and as a result, most of them are now in a position where they need to buy the technology from someone else. That’s why you find Ampere in every major cloud now.”
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Digital Trailblazers are lifelong learners and can start their careers in product management, technology, security, or data roles. What sets Digital Trailblazers apart is their ability to ask the questions that challenge people’s thinking and get into the weeds around customer experience, data quality issues, or how to integrate emerging technologies. But finding Digital Trailblazers isn’t easy, and guiding them requires leadership’s commitment to empowering their creativity and collaboration. CIOs who dedicate themselves and their lieutenants to seek and guide aspiring transformation leaders are setting their entire organization up for success for years to come. Once you identify these leaders, you must encourage them to step out of their comfort zones because many will soon be experiencing firsts such as presenting to leadership, responding to detractors, or making tough calls in setting priorities. In the book, I tell the stories of what it feels like to be a Digital Trailblazer, knowing they will face many new experiences. I’ll share an excerpt from the chapter “Buried in bad data.”?
Typically, businesses purchase and deploy ERP and CRM systems separately. However, if your ERP and CRM systems have their own databases, you will consistently have to worry about keeping them synchronised. Whether it’s a CRM user from customer service or an ERP user from billing who updates a customer’s account, any changes implemented in one system will have to be transferred to the other. Considering this is a manual process, having to wait for a database to update before you can, for example, process bills, replenish inventory levels and arrange product returns for customers, will result in slower operations and an increased risk of database errors. Applying an integrated CRM functionality to your ERP solution will ensure both systems share one database; meaning updates in either system are visible instantaneously. Customers can be billed faster and any product returns can be automated between systems; providing your business with clearer visibility into all stages of your business’ sales process.
Even if the providers do have insurance, the terms of those policies are unlikely to cover more than a fraction of the costs incurred by the clients. “Negotiate how much risk is being held by the company and how much risk is being retained by the cloud service provider,” advises Michael Phillips, chief claims officer of cyber insurance company Resilience. “It's an unfortunate fact of life right now that many of the major cloud service providers are willing to accept none of the risk of their own failure.” The public cloud is a multi-tenant environment, further complicating the issue of responsibility. “Many cloud providers currently do not offer meaningful SLAs, arguing the application must meet the demands of multiple customers,” says Lisa Rovinsky, partner at full-service law firm Culhane Meadows. “I think this power structure will be changing as customers become more sophisticated and hybrid cloud solutions develop.” This puts the onus on clients to ensure that their cloud agreements are as airtight as possible from the get-go. Boilerplate contracts are unlikely to offer even cursory protection, so customization is increasingly the name of the game.