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Raspberry Pi 5: Faster, Better, Stronger — Spendier

Noutați, Software

Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters. In a cheeky extra post this week: Everyone’s favorite single-board ARM computer, the Raspberry Pi, has a new generation coming soon. Compared to the ’4, RPi5 has double the performance, quadruple the base RAM and far more capable I/O. Analysis: And you’ll even be able to buy one The pandemic completely messed up the Raspberry Pi Foundation’s supply chains, meaning they had to focus on supplying companies who’d forward-bought the devices. This time, Eben Upton’s crew are trying to get back to their roots, promising—for the first couple of months—to sell RPi5s only to individuals. What’s the story? Alaina Yee reports—“Raspberry Pi 5 just got announced”: “I can’t wait”Forget the holiday pie, this is what I want on my table for Thanksgiving. … It looks totally badass. … Not only does the Raspberry Pi 5 appear ready to deliver a sizable step up in performance compared to its 2019 predecessor, but its new silicon was designed in-house.…The Raspberry Pi 5 is leaning hard into high-octane mini-computing. … You can expect the Raspberry Pi 5 to be about two to three times faster. Memory bandwidth also doubles.…And … a new official first-party operating system will be launching … in mid-October. Called Raspberry Pi OS, it’s based on the Linux Debian distro, as well as the Raspbian derivative that’s existed for years. … I can’t wait. Speeds and feeds? Brad Linder’s got ’em—“Raspberry Pi 5 offers 2X the performance”: “4x ARM Cortex-A76”The new Raspberry Pi 5 is a single-board computer that’s a major upgrade over the Raspberry Pi 4 … in just about every way. … At launch, there will be two configurations available: a model with 4GB of RAM that sells for $60 and an 8GB version priced at $80. That means the starting model has twice as much RAM as a $35 Raspberry Pi 4.…At the heart of new computer is a new … 16nm chip featuring 4x ARM Cortex-A76 CPU cores @ 2.4 GHz, 512KB per-core L2 cache, 2MB L3 cache, VideoCore VII graphics with support for dual 4k/60 Hz HDMI displays. [It] also features 32-bit LPDDR4X 4267MT/s memory … 2x micro HDMI (4K/60Hz), 2x USB 3.0 Type-A, 2x USB 2.0 Type-A, 1x Gigabit Ethernet with PoE support, 1x USB-C power input, 1x microSD card reader. … There are also two 4-lane MIPI interfaces. Horse’s mouth? Eben Upton—“Introducing: Raspberry Pi 5!”: “We’re incredibly grateful”Virtually every aspect of the platform has been upgraded, delivering a no-compromises user experience. … And it’s the first Raspberry Pi computer to feature silicon designed in‑house here in Cambridge, UK. … Broadcom’s VideoCore VII [is also] developed here.…Like all flagship Raspberry Pi products [it’s] built at the Sony UK Technology Centre in Pencoed, South Wales. We have been working with Sony since the launch of the first Raspberry Pi … in 2012, and we’re firm believers in the benefits of manufacturing our products within a few hours’ drive of our engineering design centre in Cambridge.…We expect the first units to ship by the end of October. … We’re incredibly grateful to the community of makers and hackers who make Raspberry Pi what it is. [So,] we’re going to ringfence all of the Raspberry Pi 5s we sell until at least the end of […]

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Generative AI’s Impact on Developers

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There is a growing belief in the developer community that future software development will be performed by machines rather than humans by 2040. Software development will undergo a radical change with the combination of machine learning, artificial intelligence, natural language processing and code generation that draws from large language models (LLMs). Most organizations believe that there will be a 30-40% improvement in overall developer productivity with AI. While these arguments have some merit, I do not believe developers will be fully replaced. Instead, I believe generative AI can augment developers to support faster development and higher-quality code. I’ll address the impact of generative AI on the development community under three pillars: Automation and productivity Quality engineering and compliance Ways of working Automation and Productivity There will be a focus on increased automation all the way from business planning to operations of applications. LLMs can help provide better alignment of user stories to business requirements. In fact, one of the best use cases for generative AI during planning phases is to auto-generate user stories from business requirements documents. Since ambiguity of requirements or guesswork is taken out of the equation, one can expect a clearer “definition of done” through the auto-creation of acceptance criteria. In a typical development cycle, 15%-20% of coding defects are attributed to improperly defined requirements. Generative AI augmentation can result in significant reduction of those defects. Generative AI augmentation can help developers with better planning and estimation of work. Rather than relying on personal experience or home-grown estimation models, LLMs can better predict the complexity of work and developers and continually learn and adapt through multiple development sprints. AI-augmented code creation can allow developers to focus on solving complex business problems and creative thinking rather than worrying about repetitive code generation. Over the last decade or so, the perception of software development as a creative pursuit has been a dying phenomenon. With AI, I think that more and more younger developers will be attracted to the field. AI will put the “fun” back in coding. AI-assisted DevOps and continuous integration will further accelerate deployments of code so developers can focus more on solving complex business problems. Deployment failures due to human errors can be drastically reduced. Elaborating on the above, newer and less experienced developers can also generate higher-quality code with AI-augmentation, leading to better overall consistency of code in large programs. Overall, from a development standpoint, I think AI augmentation will free up 30% of developers’ time to work on enhancing user experience and other value-added tasks. Quality Engineering and Compliance In a hybrid cloud world, solutions will become more distributed than ever, making system architecture more complex. LLMs can assist in regulating design documents and architecture work products to conform to industry/corporate standards and guidelines. In essence, LLMs can act as virtual Architecture Review Boards. In a typical development life cycle, architecture/design reviews and approvals make up 5%-8% of work and augmenting the process with generative AI capabilities can cut that time in half. Ssecurity compliance for cloud-based solutions is imperative. LLMs can assist in ensuring such compliance very early on in the development life cycle, leading to more predictable deployments and timely program delivery. Generative AI-augmented test case creation can optimize the number of test cases needed to support the development while increasing the […]

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Livechatting solution for e-commerce Romania

Livechatting cu FreshChat – soluția de pentru a crește vânzările, satisfacția și loialitatea clienților in 2023

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Livechatting este o modalitate eficientă și interactivă de a comunica online cu clienții potențiali sau existenți ale afacerilor online (e-commerce). Dacă ești interesat de o soluție de livechatting care să îți ofere funcții avansate, integrări ușoare și rezultate măsurabile, atunci acest articol este pentru tine. În acest articol, îți vom prezenta soluția de livechatting FreshChat de la Freshworks, o platformă care îți permite să inițiezi conversații în timp real cu vizitatorii e-shopului, să le oferi suport, să le faci oferte și să le fidelizezi. Vei afla cum să alegi ediția potrivită pentru afacerea ta, cum să o configurezi pe site-ul tău web, cum să folosești funcțiile avansate de chatbot, omni-chanel comunicații, cum să monitorizezi și să analizezi performanța echipei de customer service, cum să o optimizezi pentru a îmbunătăți conversația cu clienții, La finalul articolului, vei înțelege cum te poate ajuta soluția de livechatting de la Freshworks să crești vânzările, satisfacția și loialitatea clienților. Introducere: ce este livechatting și de ce este important pentru afacerea ta Livechatting este o modalitate de a comunica online cu alte persoane prin intermediul unui sistem de chat online care permite conversații în timp real. Livechatting este important pentru un business online, mai ales pentru unul care se ocupă de e-commerce, deoarece îi poate ajuta să își atingă scopul de creștere a bazei de clienți și a numărului de comenzi. Iată cum: Platformele de livechatting oferă o modalitate eficientă și interactivă de a comunica online cu clienți potențiali și existenți, care îți poate aduce beneficii semnificative pentru afacerea ta de e-commerce. În continuare, îți vom prezenta soluția de livechatting de la Freshworks, o platformă completă și personalizabilă care îți permite să creezi conversații în timp real cu vizitatorii site-ului tău web. Freshworks: o soluție de livechatting completă și personalizabilă FreshChat de la Freshworks este o soluție de automatizare a procesului de comunicare conversațională, care îți ajută echipa de customer support să comunice mai ușor cu clienții pe mai multe canale, cum ar fi chat web, email, telefon și platforme de comunicare socială ca WhatsApp, Instagram sau iMessage. Cu ajutorul acestei platforme se pot crea diferite scenarii de interacțiunie cu vizitatorii unui e-shop, cum ar fi: FreshChat de la Freshworks îți permite să creați conversații personalizate și relevante cu clienții Dvs, care să ajute la creșterea ratei de conversie, satisfacția și loialitatea clienților. Opțiuni de omni-channel communication oferite de FreshChat Canalele de comunicare cu potențiali clienți oferiți de către platforma FreshChat sunt următoarele: FreshChat îți permite să conectezi oricare dintre aceste canale cu inboxul tău unificat, astfel încât să poți gestiona toate conversațiile cu clienții dintr-un singur loc. De asemenea, FreshChat îți oferă funcții avansate de chatbot, co-browsing, video și voce, care îți permit să automatizezi și să personalizezi conversațiile cu clienții. Funcționalități avansate de livechatting de la Freshworks Freddy este chatbot-ul inteligent de la Freshworks, care îți permite să automatizezi și să personalizezi conversațiile cu clienții tăi. Cu Freddy, poți să oferi suport clienților 24/7, să le oferi răspunsuri rapide și eficiente, să le rezolvi problemele și să le îndeplinești cererile. Freddy are următoarele beneficii pentru afacerea ta: Dacă vrei să afli mai multe despre Freddy, poți vizita pagina Freddy chatbot by Freshworks. Cum să monitorizezi și să analizezi performanța soluției de livechatting de la Freshworks: rapoarte, metrici și feedback Funcționalitățile de analitică a conversațiilor oferită […]

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Will ChatGPT Replace Human Software Developers? Probably Not

Noutați, Software

Since the release of ChatGPT, there has been a great deal of hype around generative AI and how companies can leverage it to cut costs and democratize software and application development. Naturally, with discussions of cost-cutting and democratization come whispers about what will happen to software developers. This is a real and valid concern, but software developers’ skills, expertise and creativity are still very much needed. While generative AI and AI code generation tools like ChatGPT have shown some promise and potential benefits, they are still in their infancy—like many other innovative technological advancements. We also don’t know what scenarios they may present down the road or their true abilities when the technology matures. For instance, how will it integrate with other technologies? We don’t know what will happen when a ChatGPT-generated line of code breaks or needs to be changed. We don’t know if it can provide a novel solution to a unique problem or what security threats it will present. Given these unknowns, technology executives should think twice about replacing experienced and creative technology talent, such as software developers, with AI code generators. Will ChatGPT create novel code to solve a unique problem never encountered before? Probably not. A Tale as Old as Time (Or at Least a Decade) The technology industry has been searching for and developing new ways to make certain software development tasks much easier and more streamlined for years. One example of this is low-code/no-code. The notion of simplifying application development and replacing software developers with laypeople (citizen developers) has been around for more than a decade now, as low-code and no-code solutions have grown more popular. These solutions have promised that companies don’t need technical talent to get their software and app projects off the ground. However, if you look at the impact of these solutions today, their use can result in large amounts of technical debt and almost always require the skill of experienced software developers. The reason? Building complex software and applications is extremely difficult; it’s an art. Low-code and no-code solutions have their rightful place and can make things easier if a company is looking to launch a simple app or static web page. These solutions can increase the pace of development and time-to-market and enable everyday people without any development skills to facilitate them. However, they are not actually a complete solution and often overlook aspects of development that a human software developer would typically address. Without a skilled expert involved, low-code/no-code platforms often can’t solve a unique problem a company has. So, how does this relate to AI code generators like ChatGPT? Here’s how. A Similar Situation—With One Key Difference When thinking about their place in the development process, AI code generators are not that different from low-code or no-code solutions. The thinking is that they will also enable non-technical individuals to create software and applications with ease. Yet, there is one key difference—they promise expertise, too. But is the expertise coming from the AI code generator or the person piloting it? The answer is simple; it is not from the code generator. There have been examples of companies and individuals that have tried using ChatGPT to build code, and they have appeared to be successful. However, without the input of the individuals using it, it never would […]

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Google De-Recruits 100s of Recruiters ¦ ARM Valued at $45½B in IPO

Noutați, Software

Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters. This week: Google fires hundreds of recruiters, and ARM gets a sky-high valuation. 1. Layoffs for the recruiters themselves First up this week: Google’s hiring has slowed to such an extent that it has far too many in-house recruiters. Boo hoo? Analysis: Don’t shed a tear at task shedding I get it. Many reading this care little for the typical recruiter. All too often they seem like pointless brokers—adding no value to the process yet receiving a huge bonuses. But this news is the latest indication that DevOps jobs are harder to come by. Louise Matsakis has the scoop: Google lays off hundreds on recruiting team “Hard decision”Google is laying off hundreds of people across its global recruiting team as hiring at the tech giant continues to slow. … Workers who were laid off began learning their roles had been eliminated earlier today, according to posts on social media.…Google began reducing the speed of its hiring last year, after adding tens of thousands of workers in 2020 and 2021. … Google spokesperson Courtenay Mencini said, … “In order to continue our important work to ensure we operate efficiently, we’ve made the hard decision to reduce the size of our recruiting team.” Bring in the RecruitBot 4000. galaxytachyon explains: How likely is it that this is because of AI taking over the jobs? Sift through resumes, contact candidates, schedule some interviews, connect the hiring manager to the candidate, even getting some extra information from the candidate via email or phone calls are all things an LLM can efficiently do. They may actually do it even better than a regular human, since they might “know” more about the role and the technical requirements than an average [recruiter]. AI recruiters—and AI developers, too. Here’s Qbertino: I don’t expect those jobs to return. … After 23 years in IT I’m looking into a … career switch myself. Our industry is fully industrialized, custom coding is by now only for mostly totally broken legacy **** that will be replaced by SOA subscriptions within the next few years and what’s still left to code will be mostly done by AI quite soon I suspect.…Time to move on. It was an awesome ride but we’ve now finally built the bots that will replace us. Nice. This will spell more wealth for everyone in the long run even if we are out of cushy jobs with obscene salaries. When Google catches a cold, do other DevOps shops sneeze? Not in gijames1225’s experience: It’s weird being at a midsize company that has only accelerated hiring for engineers while the big players all go through these layoff cycles. The cynic in me sees them as token displays of fiscal responsibility being made for shareholders and a weird performativity of not wanting to be outdone by other tech giants. Another bit of me wonders about general productivity at these places if they can layoff so many people and nothing really appears to change (from a consumer perspective). All of which makes this Anonymous Coward wonder: I wonder what happens now to those who have threatened to quit or were reluctant to come in to physical offices. Meanwhile, u/saracenraider has questions: Do […]

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CloudBees CEO: State of Software Development is a Disaster

Noutați, Software

CloudBees CEO Anuj Kapur told attendees at a DevOps World event today that with developers spending only 30% of their time writing code the current state of software development in enterprise IT organizations is a disaster. After more than 14 years of effort, the promise of DevOps—in terms of being able to accelerate the rate at which applications are being deployed—remains largely academic, said Kapur. In fact, the effort to shift more responsibility for application security further left toward developers has only increased the amount of cognitive load and reduced the amount of time available to write code, he noted. However, with the rise of generative artificial intelligence (AI), an inflection point that will dramatically increase the velocity at which applications are being built and deployed has arrived, said Kapur. The challenge will be achieving that goal without increasing the cognitive load on developers. That cognitive overload results in 70% of developers’ time not being productive within organizations that often hire thousands of developers, he noted. Despite all the DevOps issues that need to be addressed, AI advances promise improvement. The overall DevOps market is still relatively young, given the current level of adoption, said Kapur. “We continue to believe the market is early,” he said. Today, CloudBees took the wraps off the first major update to the open source Jenkins continuous integration/continuous delivery (CI/CD) platform to have been made in the past several years. At the same time, the company also unveiled a DevSecOps platform based on Kubernetes that is optimized for building and deploying cloud-native applications based on portable Tekton pipelines. That latter platform provides the foundation through which CloudBees will, in the months ahead, apply generative AI to software engineering to, for example, create unit tests on the fly and automate rollbacks. In addition, DevSecOps capabilities will be extended all the way out to the integrated development environments (IDE) to reduce the cognitive load of developers. The overall goal is to reduce the number of manual processes that create bottlenecks that make it challenging to manage DevOps at scale. Criticism of the level of developer productivity enabled by DevOps compared to other development approaches needs to be tempered, said Tapabrata Pal, vice president of architecture for Fidelity Investments, because it still represents a significant advance. There is still clearly too much toil, but the issues that impede the pace at which developers can effectively write code tend to be more cultural than technical, he added. Organizations are not inclined to automatically trust the code created by developers, so consequently, there is still a lot of friction in the DevOps process, noted Pal. In theory, advances in AI should reduce that friction, but it’s still early days in terms of the large language models (LLMs) that drive generative AI platforms and their ability to create reliable code, he added. That should improve as LLMs are specifically trained using high-quality code, but in the meantime, the pace at which substandard code might be generated could overwhelm DevOps processes until AI is applied there as well, said Pal. Thomas Haver, master software engineer for M&T Bank, added that while assisted AI technologies will have a major impact, it’s not reasonable to expect large organizations to absorb them overnight. Patience will be required to ensure advances are made in ways that […]

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JFrog swampUP: Addressing the Advent of AI

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At JFrog SwampUp 2023, the buzz with all about AI, especially with JFrog’s announcement of Machine Learning (ML) Model Management capabilities. These conversations around AI and ML reflected these technologies’ growing influence and importance in the DevOps world. How much of the generative AI conversation is just hype, though? And what does that mean for AI and ML as a whole? Alan Shimel, CEO of Techstrong Group, and I sat down with Stephen Chin, VP of DevRel at JFrog, to find out. As far as Chin is concerned, even as more companies create and leverage AI models, these models must be managed like any other software component. Chin said JFrog Artifactory acts as a staging ground to operationalize models using DevSecOps best practices. Algorithms and models will continue to grow in size and complexity, and they will require robust processes around deployment and management – just like any other software artifact. The key, Chin said, is to think of ML as just another development language and leverage tools that standardize and streamline working with it. Compared to traditional enterprise applications, though, DevOps workflows for AI/ML are still relatively immature, but Chin said JFrog’s new model management capabilities aim to provide that missing automation and governance using DevSecOps best practices for governance, security, and licensing compliance. Additionally, Chin noted that AI/ML have become essential for development teams to keep up with the explosive demand for code. At this point, AI has become table stakes. In the AI arms race, the winners are those who understand AI has become a vital development tool to enhance productivity. In terms of job security, the losers are the ones who can’t keep up with the volume of code. According to Chin, you are out of the running if you don’t embrace AI. Looking ahead, AI will not make developers obsolete, though – quite the opposite. Given the quasi-unlimited appetite for new code, Chin emphasized that developers who embrace AI will have more work than ever. One way to think of it is that AI provides a new form of “outsourcing” to boost human productivity, much like previous waves of innovation in computer science. When it comes to security, there are still challenges that need to be addressed; code generated by today’s AI solutions still has significant drawbacks like potential data bias, lack of explainability and simple errors. In the long term, though, Chin believes AI itself will provide the solution to secure an exponentially growing codebase, given its superior scale. Just as AI will make individual developers more productive, it can also supercharge security teams – but it can also empower bad actors. The key will be continuing to democratize the benefits to even the playing field. AI promises to be a transformative technology on the scale of the Bronze Age or Quantum computing, Chin said, but the path forward will require humans and machines working together to ensure it’s used for good. It’s clear that the pace of innovation in AI and ML is rapidly accelerating. As these technologies become further democratized and integrated into developer workflows, they promise to transform how software is built and secured, Chin said. Companies must take advantage of this technology innovation by providing the pipelines and governance for this software revolution, he added. Chin believes the future will […]

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gitlab-duo-beneficii-ai--dezvoltatori-software-din-romania

Cum să înbunătățești în 2023 productivitatea echipei de dezvoltare cu GitLab Duo

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Află cum GitLab Duo te poate ajuta să dezvolți software mai sigur, mai rapid și mai eficient, beneficiind de scanarea automată a vulnerabilităților de cod, aplicarea politicilor de securitate și auditare, generarea și optimizarea automată a codului, sugerarea și aplicarea celor mai bune practici și standarde de codare, oferirea de feedback și recomandări personalizate, asigurarea unei autentificări sigure și ușoare a dezvoltatorilor, și multe altele. De asemenea, află cum poți să testezi gratuit pentru 30 de zile fără a fi necesar datele cardului bancar soluția GitLab Ultimate care include GitLab Duo. Introducere: Provocările actuale cu care se confruntă echipele de dezvoltare software Dezvoltarea software este un domeniu în continuă evoluție, care implică o serie de provocări pentru echipele care lucrează la proiecte complexe și inovatoare. Una dintre aceste provocări este de a asigura securitatea codului, care este esențială pentru a preveni atacurile cibernetice, a respecta reglementările și a proteja datele sensibile. O altă provocare este de a optimiza viteza și calitatea livrării codului, care sunt cruciale pentru a satisface cerințele clienților, a menține competitivitatea și a reduce costurile. Pentru a face față acestor provocări, echipele de dezvoltare au nevoie de instrumente și soluții care să le ajute să gestioneze eficient ciclul de viață al software-ului, de la planificare, la codare, la testare, la implementare și la monitorizare. În acest articol, vom prezenta cum GitLab, o platformă integrată pentru gestionarea ciclului de viață al software-ului, oferă funcționalități asistate de inteligență artificială (AI) care pot îmbunătăți securitatea și productivitatea echipei tale de dezvoltare. Vom arăta cum GitLab folosește AI pentru a detecta și remedia vulnerabilitățile de cod, pentru a genera și optimiza automat codul, pentru a sugera și aplica cele mai bune practici și standarde de codare, și pentru a oferi feedback și recomandări personalizate. De asemenea, vom discuta despre beneficiile și avantajele pe care le aduce GitLab prin integrarea AI în platforma sa, precum și despre planurile și viziunea sa pentru viitor. GitLab: soluția integrată pentru automatizarea livrării software. GitLab este soluția integrată pentru automatizarea livrării software, care îți permite să te concentrezi pe crearea de valoare, nu pe menținerea unui lanț de instrumente fragil și complex. Cu GitLab, poți să livrezi software mai rapid, mai sigur și mai eficient. Codezi mai ușor și mai corect, folosind funcționalitățile de repository-uri Git, editor Web IDE, sugestii de cod și recenzii de cod. Astfel, poți să scrii cod în orice limbaj de programare, să editezi cod direct în browser, să primești recomandări relevante în timp ce tastezi, și să discuți și să îmbunătățești codul înainte de a fi integrat în branch-ul principal. Testezi codul tău într-un mod automat și continuu, folosind funcționalitățile de integrare continuă (CI), Auto DevOps, pipeline-uri, job-uri și artefacte. Astfel, poți să rulezi teste automate pentru a verifica calitatea și funcționalitatea codului tău, să beneficiezi de o configurare automată a CI/CD pentru proiectele tale, să vizualizezi și să controlezi fluxul de lucru al codului tău, și să stochezi și să accesezi fișierele generate de teste. Implementezi codul tău într-un mod rapid și sigur, folosind funcționalitățile de livrare continuă (CD), medii, pagini și serverless. Astfel, poți să livrezi codul tău în producție fără întârzieri sau intervenții manuale, să creezi și să gestionezi medii de dezvoltare izolate pentru fiecare branch sau cerere de unire, să publici site-uri web statice direct din GitLab, și […]

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CIOs are investing more in digital workflows — and reaping the rewards

Software

The way businesses support employees has changed dramatically in the last few years — and chief information officers (CIOs) are tasked with keeping up. With employees sent home to work remotely in 2020, businesses had no choice but to shift from paper to digital workflows to get work done. But there’s still more work to do if businesses want to realize the benefits that come with digital processes. By investing in greater digitization, CIOs can help their organizations make the most of data analytics and insights, unlock new business and revenue opportunities, and significantly reduce costs. Nearly half (49 percent) of CIOs surveyed said time and operational constraints had led to incomplete or unsatisfactory restructurings, with two-thirds saying they plan to develop their digital document processes further. Here’s why CIOs are so intent on continuing their investment in digital workflows. Increased productivity Currently, less than half of CIOs say their digital workflows aka document processes are either advanced or leading. This stage is defined as document digitization that is available to everyone and artificial intelligence (AI) that supports orchestration and decision-making based on data. The impact of not having advanced digital workflows is often less efficiency and productivity within the organization. About half of the CIOs surveyed (51 percent) admitted that legacy workflows were impeding productivity in their organizations. In the report, 451 Research’s Conner Forrest noted, “As we continue to invest in modern technology, especially through things like automation and artificial intelligence — whether it’s in document workflows or elsewhere — we are making an investment in freeing employees up to work more strategically, to think more creatively.” This is an important point. As CIOs, our role isn’t just to decide what technology is best, but to implement technology that frees up employees to work as productively and strategically as possible. Improved employee and customer experiences When workflows and internal processes are fully digitized, the CIOs surveyed by Forbes say the two most likely outcomes are more efficient employees (65 percent) and higher morale (63 percent). In the report, Forrest is quoted as saying, “The more we invest in the tools and technologies we use to get our work done, the better engaged our employees are.” Likewise, Microsoft chief digital officer Andrew Wilson also noted in the report that digitization can have a significant impact on the customer experience. “If employees aren’t spending time scanning and uploading documents or chasing down contracts, they have time for higher-value work — and that work can often directly impact the customer.” Better business outcomes Perhaps the most critical reason to invest in digital workflows is the overall impact on business outcomes. Organizations understand there are many benefits related to optimized workflows that may not seem all that obvious. Nearly four in ten (39 percent) CIOs said the top benefit they expected to see from improving workflow is a better ability to leverage data analytics and insights. The second most-cited benefit (38 percent) was new business or revenue opportunities. Improving workflows is a strategic investment. Immediate ROI and cost savings can depend on a range of factors including executive and manager buy-in, implementation, ongoing service and iteration, and employee usage. While you may not see immediate cost savings at the flip of a switch, better digital processes can set your business up for […]

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Solutie semnatura electronica online in Romania

Adobe Sign – soluție flexibilă de semnături electronice online.

Software

Adobe Signature – soluție flexibilă și sigură pentru semnături online Semnătura electronică online schimbă modul in care interacționăm cu colegii și partenerii de afaceri în momentul în care apare necesitatea de a semna un document. Cu soluția Adobe Signature aveți nevoie doar de adresa e-mail a persoanei respective pentru a transmite solicitare a de a semna documentul în format electronic PDF. Cu Adobe Signature, Vă ușurați semnificativ procesul de colecatre a semnăturei legală obligatorie. Soluția noastră de administrare a semnăturilor electronice îndeplinește cele mai exigente cerințe și respectă legile din întreaga lume pentru colectarea unei semnături online. Solicitați informații suplimentare

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