One of the most powerful sales and marketing platforms, Salesforce is used in most enterprises across industry verticals. With the advent of multiple sales channels like digital channels, social media channels, and tremendous growth in transactions like leads, customer engagement, etc. It is challenging to feed all relevant info to Salesforce simultaneously. Marketing teams in enterprises daily receive hundreds of leads from various digital channels like Facebook Ads, Shopify customer info, LinkedIn Gen forms, emails, etc. These must be fed into Sales Cloud manually to address these leads, which means a team should manually download information about each lead, restructure or reformat it, and type it into Sales Cloud.
Software development is not a static process, but, is in fact, a dynamic one. Historically, the world witnessed the development of the information system from the period between 1940 to 1960 and then came the idea of project management. Did you know that Henry Laurence Gantt and Frederick Winslow Taylor first proposed the concept of project management in 1910? Software products continuously need to evolve with time as consumer expectations keep changing. To adapt to these changes and manage to remain in demand, constant evolution is what can confer them a competitive edge.
This optimizes the use of the GPU hardware and it can serve more than one user, reducing costs. A basic level of familiarity with the core concepts in Kubernetes and in GPU Acceleration will be useful to the reader of this article. We first look more closely at pods in Kubernetes and how they relate to a GPU. A pod is the unit of deployment, at the lowest level, in Kubernetes. A pod can have one or more containers within it. The lifetime of the containers within a pod tend to be about the same, although one container may start before the others, as the "init" container. You can deploy higher-level objects like Kubernetes services and deployments that have many pods in them. We focus on pods and their use of GPUs in this article. Given access rights to a Tanzu Kubernetes cluster (TKC) running on the VMware vSphere with Tanzu environment (i.e. a set of host servers running the ESXi hypervisor, managed by VMware vCenter), a user can issue the command:
Cloud computing is the delivery of on-demand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis. Rather than owning their own computing infrastructure or data centres, companies can rent access to anything from applications to storage from a cloud service provider. One benefit of using cloud-computing services is that firms can avoid the upfront cost and complexity of owning and maintaining their own IT infrastructure, and instead simply pay for what they use, when they use it. In turn, providers of cloud-computing services can benefit from significant economies of scale by delivering the same services to a wide range of customers. Cloud-computing services cover a vast range of options now, from the basics of storage, networking and processing power, through to natural language processing and artificial intelligence as well as standard office applications. Pretty much any service that doesn't require you to be physically close to the computer hardware that you are using can now be delivered via the cloud – even quantum computing. That includes consumer services like Gmail or the cloud backup of the photos on your smartphone, though to the services that allow large enterprises to host all their data and run all of their applications in the cloud. For example, Netflix relies on cloud-computing services to run its its video-streaming service and its other business systems, too.
When we think of the public cloud, often the first consideration that comes to mind is financial: Moving workloads from near-capacity data centers to the cloud reduces capital expenditures (CapEx) but increases operating expenditures (OpEx). That may or may not be attractive to the CFO, but it isn't exactly catnip for developers, operations, or those who combine the two as devops. For these people, cloud computing offers many opportunities that simply aren't available when new software services require the purchase of new server hardware or enterprise software suites. What takes six months to deploy on-premises can sometimes take 10 minutes in the cloud. What requires signatures from three levels of management to create on-prem can be charged to a credit card in the cloud.
Disruptive technology is the technology that affects the normal operation of a market or an industry. Digital disruption entails established companies and start-ups alike enlisting new technologies in the fight to dislodge incumbents, protect entrenched positions, or to re-invent entire industries and business activities. And to remain disruptive in the market, it is really important to keep innovating. This is crucial because, innovations occur now and then in every industry, however, to be truly disruptive, and innovation must entirely transform a product or solution that historically was so complicated only a few could access it. On a minimum level, digital transformation enables an organization to address the needs of its customers more simply and directly. But through disruptive innovation, companies can offer a far better way to users of doing things that current incumbents simply cannot compete with. Artificial intelligence (AI), E-Commerce, cloud, social networking, Internet of Things, 5G, blockchain and other emerging technologies are being leveraged to blur the lines between industries, creating new business models and converging sectors. A company that disrupts its market is in a great position to take advantage of new opportunities. Sometimes offering something different can change the whole market for the better. Most of the top disruptive companies get this label by offering highly innovative products and services and here are 100 such top disruptive companies listed below. The company provides innovative, managed cloud services to help its customers succeed. With best-in-class service and technology, 403Tech protects companies against cybercrimes while enabling greater efficiency and productivity. Some of its popular services include desktop support, server support, wired and wireless networking, virus removal, data recovery, and backup and hosted cloud services. Aegeus Technologies aims to design and develop robotic technologies and solutions.
As a result, all major cloud providers are either offering or promising to offer Kubernetes options that run on-premises and in multiple clouds. While Kubernetes is making the cloud more open, cloud providers are trying to become "stickier" with more vertical integration. From database-as-a-service (DBaaS) to AI/ML services, the cloud providers are offering options that make it easier and faster to code. Organizations should not take a "one size fits all" approach to the cloud. For applications and environments that can scale quickly, Kubernetes may be the right option. For stable applications, leveraging DBaaS and built-in AI/ML could be the perfect solution. For infrastructure services, SaaS offerings may be the optimal approach. The number of options will increase, so create basic business guidelines for your teams.
Embracing the concept of DevSecOps, Palo Alto Networks on Tuesday rolled out Prisma Cloud 3.0, bringing a number of updates to the platform focused on the security of the entire application development lifecycle. That includes infrastructure as code (IaC) security, agentless security and a next-gen CASB. Palo Alto launched Prisma Cloud in 2019 as a comprehensive cloud security suite designed to govern access, protect data and secure applications consistently. Offering a comprehensive, integrated security platform has become all the more important in the wake of the COVID-19 pandemic when workforces are increasingly dispersed, Palo Alto's chief product officer Lee Klarich told reporters. Prisma Cloud attempts to offer consistent network security across campuses, branches, remote offices and anywhere else.
KMS Lighthouse, a global leader in knowledge management, announced the availability of KMS Lighthouse as a transactable SaaS offering in the Azure Marketplace, an online store providing applications, and services built on Azure. With the advanced knowledge and AI features of Lighthouse, companies can ensure content is readily consumable for employees and customers alike and accessible from any device. KMS Lighthouse empowers enterprises with accurate and consistent knowledge delivering operational efficiencies enabling organizations to reducing on boarding by 50%, reduce error rate and shorten time to knowledge by 25%. The company focuses on the development of enterprise solutions leveraging AI and machine learning capabilities to provide the right answers at the right time. Users simply ask a question in natural language and receive an instant answer.
In the run up to Dreamforce 2021 in September, Salesforce announced new capabilities for Einstein Automate as well as new AI-driven workflows and RPA capabilities for Service Cloud . Prior to Dreamforce 2021, I had a chance to talk with Clara Shih, CEO of Service Cloud at Salesforce, about how the cloud-based software company sees automation and AI transforming, and actually humanizing, customer service. The following is a transcript of our interview, edited for readability. So let's talk automation, AI, RPA and how that relates to the Service Cloud and how that's kind of changing how organizations approach their interactions with their customers. Because I know that automation is a large part of many organization's digital transformation processes.