5 Digital Transformation Resolutions CIOs Need to Keep in 2021
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The global pandemic has changed the trajectory and velocity of digital transformation and will likely continue to do so until 2021. These are top 5 trends that CIOs cannot afford to miss out in 2021.
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- Spending on third platform technologies will account for about one-third of all IT spending in 2015 and drive all of the industry's growth.
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Apps are being developed faster than ever to meet the rising demand for new content. Consumers today expect services to come with apps with friendly, clean user interfaces. The presentation of your brand through your app can go a long way with the tech-savvy customers of today.
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Follow @Maruti Techlabs for more such insights.
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For more information and up-to-date stats, visit our blog at http://blog.experts-exchange.com
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By 2020, when the ICT industry reaches USD 5 trillion - USD 1.7 trillion larger than it is today - at least 80% of the industry's growth, and organisations' highest-value leverage of IT, will be driven by these 3rd Platform technologies. In addition, there'll be an explosion of new solutions built on the new platform and rapidly expanding consumption of 3rd Platform technologies in emerging markets.
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1. The relationship between people and machines will evolve from cooperative to co-dependent to competitive as machines perform more tasks.
2. "Smartness" will be applied across work environments through technologies like machine learning, autonomous agents, and adaptive security architectures.
3. The "nexus of forces" driving digital transformation will create new scenarios requiring advanced systems architecture and new IT approaches.
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Enterprise mobility, cloud computing, and retail automation are expected to be major trends in the Indian software market in 2012. Cost reduction will be a primary focus for companies. The mobile BI market is growing rapidly, with over 33% of BI functionality expected to be consumed on mobile devices by 2013. The cloud computing market in India is projected to reach $1 billion within the next 5 years, growing at a fast rate, driven by increasing digital data and adoption of cloud-based solutions. Hybrid cloud models are gaining popularity as they allow companies to balance security, control, and scalability needs.
Emerging trends in it technology
The document discusses emerging trends in information technology, with a focus on cloud computing. Some key points are:
- Cloud computing including SaaS, PaaS, and IaaS is a major emerging trend and is expected to grow significantly over the next 5-10 years.
- The cloud market is estimated to reach $241 billion by 2020, with SaaS accounting for 70% of revenue.
- Industries like professional services, communications, and manufacturing are leading cloud adoption, while government, banking, and healthcare are lagging.
- Cloud spending is expected to grow rapidly and account for a significant portion of future IT spending increases.
Top-Emerging-Technology-Trends-to-Watch-in-2024.pptx
Hey, have you heard about the latest tech trends to keep an eye on in 2024? From artificial intelligence to blockchain, there's a lot of exciting stuff happening in the world of technology. If you want to stay ahead of the curve, it's worth checking out some of the emerging trends that are set to shape the future. Get ready for a wild ride!
11 Cloud statistics you must know in 2020
As businesses tide over the unprecedented waves of COVID-19, the cloud is firmly established as the new normal for enterprise IT.
It remains to be the fastest-growing segment of IT spend.
Furthermore, it continues to be the right strategy for businesses focusing on cost optimization.
AI in Manufacturing: moving AI from Idea to Execution
#AI and #HPC convergence is here and is here to stay and accelerate innovations across industries. The increased availability of data, hardware advancements leading to increased computational capabilities, and new algorithms and mathematical models have collectively resulted in the accelerated AI expansion in all sorts of applications. This, however, creates high computational needs which naturally have been more and more successfully addressed by HPC (High-Performance Computing). In that sense, AI & HPC complement each other. HPC infrastructure is often used to train AI’s powerful algorithms by leveraging huge amounts of sample data (training set) and in that way enables AI models (trained algorithms) to recognize shapes, objects (machine vision), find answers hidden in the data (predictive maintenance, data analytics) or accelerate time to results (predict the outcome of complex engineering simulations).
We at byteLAKE have been closely working with Lenovo, Lenovo Infrastructure Solutions Group, Intel Corporation, NVIDIA and many more to ensure that our AI-powered products not only help our clients efficiently automate various operations and reduce time and cost but also are highly optimized and make the most of the hardware and software infrastructure where they are deployed. Besides our efforts in bringing AI solutions to the paper industry and manufacturing in general (which I described in my previous post), our efforts in bringing value thru AI in the chemical industry highly benefit from HPC's capabilities to dynamically scale and keep up with performance requirements. Our product, #CFDSuite (AI-accelerated CFD) leverages HPC to efficiently analyze historic CFD simulations and makes it possible for our clients to predict their outcomes on various edge devices i.e. laptops, desktop PCs or local edge servers. And with that in mind, I am very happy to see the byteLAKE team becoming one of the drivers of AI & HPC convergence and leveraging it to bring innovations to various industries.
Links:
- byteLAKE's Cognitive Services: www.byteLAKE.com/en/CognitiveServices (Cognitive Services (AI for Paper Industry & Manufacturing)). Related blog post series: www.byteLAKE.com/en/CognitiveServices-toc
- byteLAKE's CFD Suite: www.byteLAKE.com/en/CFDSuite. Related blog post series: www.byteLAKE.com/en/AI4CFD-toc
- byteLAKE’s CFD Suite (AI-accelerated CFD) — HPC scalability report: https://marcrojek.medium.com/bytelakes-cfd-suite-ai-accelerated-cfd-hpc-scalability-report-25f9786e6123 (full report: https://www.slideshare.net/byteLAKE/bytelakes-cfd-suite-aiaccelerated-cfd-hpc-scalability-report-april21)
- byteLAKE's CFD Suite (AI-accelerated CFD) - product community: www.bytelake.com/en/AI4CFD-pt2 (LinkedIn and Facebook groups)
#AI #IoT #Manufacturing #Automotive #Paper #PaperIndustry #ChemicalIndustry #CFD #FluidDynamics #OpenFOAM #ArtificialIntelligence #DeepLearning #MachineLearning #ComputerVision #Automation #Industry40
VMblog - 2018 Artificial Intelligence and Machine Learning Predictions from 3...
Find out what's going on in the world of #artificialintelligence and #machinelearning in 2018. Read #predictions more than 30 of the industry's leading experts to learn more about #AI Hear from industry thought leaders from companies like Chaos Sumo, Couchbase, Druva, Equinix, Hitachi Vantara, Ixia, Pivot3, SAP, SIOS Technologies, SolarWinds, Splunk, Vonage and more. Make sure to also read the more than 280+ other expert predictions from technologies across #virtualization, #cloudcomputing, #hyperconverged, #IoT, #security, etc. here: http://bit.ly/2DQi2OT at VMblog.com.
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The foundation for digital business is the cloud. It supports enterprises to respond to the current competitive environment. As businesses tide over the unprecedented waves of COVID-19, the cloud is firmly established as the new normal for enterprise IT. It remains to be the fastest-growing segment of IT spend. Furthermore, it continues to be the right strategy for businesses focusing on cost optimisation. One of the key findings in IDG's 2020 Cloud Computing Survey shows that 92% of the organization’s IT environment is at least somewhat in the cloud today.
This deck covers 11 cloud statistics that demonstrate the health of cloud adoption in 2020.
Top data science and AI trends to watch out for in 2021 | AIM & AnalytixLabs
The annual data science and AI trends report by Analytics India Magazine aims to highlight the top trends that will define the industry each year. This report, which has been developed in association with AnalytixLabs, covers the trends that will shape the year 2021.
Digital Transformation & Cloud Profitability
A quick view about Digital Transformation and what's happening with Industries across the globe.
A guidance to IT Channel to accelerate Cloud Profitability with valuable resources for download.
Driving Digital Transformation through Service-Centric AIOps
Driving Digital Transformation through Service-Centric AIOps. Reduce the noise with artificial intelligence.
To learn more about how OpsRamp can help you manage the unmanageable, visit us at - https://www.opsramp.com
Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more -
Twitter - https://www.twitter.com/OpsRamp
LinkedIn - https://www.linkedin.com/company/opsramp
Oracle's Top 10 Cloud Predictions
1. By 2025, 90% of manual IT operations and data management tasks will be completely automated, allowing IT professionals to focus on more innovative work like developing new applications and services.
2. There will be 600 times more sensitive data shared in the cloud by 2025, increasing security risks, so organizations must ensure the resilience of their data systems using autonomous security capabilities.
3. 100% of enterprise applications will include some form of AI by 2025, with ML helping applications and systems get smarter over time to provide better insights and a more personalized experience for customers and employees.
Top Technology Trends and Related Jobs
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
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The document discusses 10 revolutionary technology trends that will dominate 2012, including cloud computing reaching $241 billion by 2020, agile development methods being used in 80% of projects by 2012, and the tablet market growing to $35 billion by 2012. It also notes that mobile app revenues will hit $58 billion by 2014, the IT security market will be $16.5 billion by 2011, and business process management revenues will approach $6.3 billion by 2011. Finally, it states that enterprise 2.0 will become a $4.6 billion industry by 2013 and the unified communications market will approach $4.2 billion by 2014.
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The software development advancement partially also modifying the custom software development trends each year, so to build leading software, you should know about the current trending technologies.
AI and Big Data Analytics
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
Ast 0181451 hitachi-cloud_transformation
- Organizations are increasingly adopting enterprise cloud strategies to enable digital transformation and remain competitive in the face of demands from customers, mobile workforces, and new technologies.
- Digital transformation requires flexible IT solutions and the ability to extract value from massive new data streams through business intelligence in order to empower employees, enhance customer experiences, and improve business processes.
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The document discusses 7 strategies for enterprises to survive disruptions from the nexus of forces in 21st century IT, including big data, cloud computing, mobile technology, and social media. These strategies are: 1) addressing big data challenges through improved information management and analytics, 2) adopting in-memory computing to improve data velocity, 3) embracing cloud computing while securing corporate data, 4) developing hybrid IT approaches using private and public clouds, 5) managing challenges from the growing Internet of Things, 6) achieving full integration across new IT deployments, and 7) leveraging platforms that integrate solutions to simplify operations.
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With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
Data Science & AI Trends 2019 By AIM & AnalytixLabs
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
5777
The document discusses how IT will change between now and 2020 based on a study of over 150 chief information officers. It finds that demand for IT will significantly increase as digital technologies become more prevalent and disruptive. Companies will invest more in customer-facing IT systems and applications to drive sales. To meet this rising demand, IT organizations will need to focus on simplifying complex systems, increasing outsourcing, and addressing skills shortages. Forward-thinking companies will balance IT costs with business value to ensure they have the capabilities required for the digital future.
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