“Cloud-native is much more than just technology,” Rubina says. Companies need to take a fundamental shift in mindset away from traditional waterfall development toward more agile development principles such as the DevOps model, and automation. “Cloud-native must be a strategic approach; it must be driven by top management as it is a response to a wide range of business needs,” Rubina says. “And these need to be well defined and rolled out by senior management. It is about changes in the business model, about entering new markets, about the ability to adapt quickly to create innovative products and services and drastically reduce time to market.” ... “Determine if you’ll be using a fixed-cost structure flexible for the cloud,” Hon says. “Are you leveraging showback or chargeback to the business? And keep in mind seasonality. You want to have an idea of how often you scale up and shrink down and what that looks like. Building out cost models is key for how you can build a budget.” With a traditional data center, companies buy and install hardware with workload peaks in mind, Hon says.
As currently designed, SAP BW Bridge is primarily intended as a data acquisition and staging layer — which has been the mainstay for BW. Other capabilities, such as planning, are outside the scope of BW Bridge; instead, SAP directs BW customers to SAP Analytics Cloud (SAC) Planning, which for now is a separate offering; later this year, SAP will add support SAC planning on top of DWC based data models. The scenarios for SAP BW Bridge are, not surprisingly, centered around bringing SAP legacy data sources into the modern cloud data warehousing world. It could include those that want to replicate their existing BW environment and operational reports but in a managed cloud environment. And of course, it could involve migrating more modern BW/4HANA on-premises as well. And, as noted above, with cross-space sharing, BW data could be shared with other greenfield analytics, and mixed with data from other sources, developed in DWC. SAP BW Bridge is an acknowledgment that, for classic or legacy systems to make it into the cloud, cloud SaaS providers have to provide more flexibility to accommodate the types of customizations that permeate legacy systems.
The new model offers not just the potential for tapping the power of AI algorithms, but also a more flexible search engine that isn’t locked into searching for exact matches. While traditional databases require the names to be spelled correctly or the exact confirmation code to locate a record, Weaviate can find entries that are the most similar. What does it mean to be similar? That’s still a wide open question for many users. Much of the art goes into defining how to calculate just how close or far apart two pieces of data might be. Finding the closest records in the database begins with finding a metric or a way to specify just what it means to be nearby in some multidimensional space defined by an AI. While SeMI Technologies is the main fundraiser, much of the branding is focused on Weaviate, the open source database. Companies can download the code or purchase Weaviate as a managed service. Many Weaviate users rely on pre-built models for text in English and other well-known languages. There’s one model built out of the entire collection of Wikipedia articles that SeMI built, so people could experiment.
First, reframing is not analysis. It is not about finding the root cause analysis and asking “Why is this problem existing?” Reframing starts before that, when you ask “What problem are we trying to solve?” and “Is this the right problem to solve?” Reframing is about looking at the big picture and thinking of the problem from different angles. Second, reframing is not about finding the real problem but finding a better problem to solve. The advantages of reframing a problem are generating more options, opening the problem space (diverge) and in the end, building better solutions by solving a better problem. Let’s look into a simple example that Thomas Wedell-Wedellsborg explained in his book “What’s your problem?” Imagine you are the owner of an office building, and your tenants are complaining about the elevator. It’s too slow, and they have to wait a lot. Several tenants are threatening to break their leases if you don’t fix the problem. When asked, most people directly jump into thinking of solutions: install a new lift, upgrade the motor, or perhaps improve the algorithm that runs the lift.
Chainlink is secure, open-source blockchain middleware (referred to as an “oracle”) that provides smart contracts with any type of data or computation that they cannot inherently obtain on their native blockchain due to technical, financial, governance, or legal constraints. Unlike blockchains, which maintain internal consistency around transaction validation, Chainlink aims to generate and deliver oracle reports to blockchains that accurately reflect the state of external events and computation. Chainlink oracles are able to generate oracle reports because the Chainlink oracle node software can read data from and write data to blockchains and APIs and perform off-chain computation. Chainlink generates trust-minimization for oracle reports through mechanisms similar to those used by blockchains, such as decentralized validation, cryptographic signatures, and financial/reputational incentives outlined in service level agreements (SLAs).
As with many markets, the winners are often those that have specialisms, such as CSL’s critical connectivity or Peoplesafe’s personal safety solutions, or those that have scale, such as Wireless Logic. Businesses can achieve success in different ways but ultimately they need to provide a solution that the market needs, along with executing their vision efficiently on the back of strong market tailwinds. However, with the half-life of business models shortening, especially in fast-growth technology, great management teams must continue to evolve to ensure they maintain their competitive advantage. This evolution could mean adding new services, more security, or providing an improved service wrapper for the customer. Moreover, another key differentiator might be the route to market. For example, at ECI’s former investment, Arkessa, it understood there was a significant opportunity to introduce IoT connectivity at the point of manufacture rather than in the aftermarket. There has already been some consolidation of the market as companies aim to dominate certain verticals within the IoT market or scale-up.
A large part of application development in today’s world involves a lot of application management. Low-code tools are getting widespread adoption because, in a world where front-end applications are becoming more complex, they make things like hosting, deployment, authentication, and workflow functions much simpler. As compared to custom code, where you have to spin up a server and set up CI/CD pipelines to deploy to your cluster, low-code takes care of this with the click of a button, saving developers time because they don’t have to spend time configuring and maintaining a custom deployment. Similarly, authentication and authorization is a complex process to get right because there are different access controls to be thought of, invite flows need to be addressed, and onboarding and offboarding for team members need to be taken care of. Low-code products do the heavy lifting and have these features built in, allowing developers to define authentication and authorization in a much simpler manner.
Today’s IT specialists no longer need a four-year degree in computer science or engineering to be able to do their job. Between the many boot camps and online training resources, it’s entirely possible for new developers to train themselves and gain the skills necessary to provide value to an IT organization. Limiting your talent search to those with outdated credentials could cause you to miss out on golden opportunities to build out your team. Instead, focus on skills using unbiased assessments that can determine proficiency without knowing a candidate’s educational background or past experience. Maximizing the potential of your IT employees provides a dual benefit: not only does it help your enterprise to avoid the crunch of a talent shortage, but it also ensures that your employees will be more satisfied with their jobs and career advancement. Tech employees highly value logic and efficiency, and by demonstrating that your organization makes the most out of its teams and technologies, you’ll gain another key selling point as you compete for new talent in a highly contested job market.
The need to take control of security and not turn ultimate responsibility over to cloud providers is taking hold among many enterprises, an industry survey suggests. The Cloud Security Alliance, which released its survey of 241 industry experts, identified an "Egregious 11" cloud security issues. The survey's authors point out that many of this year's most pressing issues put the onus of security on end user companies, versus relying on service providers. "We noticed a drop in ranking of traditional cloud security issues under the responsibility of cloud service providers. Concerns such as denial of service, shared technology vulnerabilities, and CSP data loss and system vulnerabilities -- which all featured in the previous 'Treacherous 12' -- were now rated so low they have been excluded in this report. These omissions suggest that traditional security issues under the responsibility of the CSP seem to be less of a concern. Instead, we're seeing more of a need to address security issues that are situated higher up the technology stack that are the result of senior management decisions."
Quote for the day:
"A lot of people have gone farther than they thought they could because someone else thought they could." -- Zig Zigler