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How Digital Transformation Is Revolutionizing These 5 Industries

How Digital Transformation Is Revolutionizing These 5 Industries

How Digital Transformation Is Revolutionizing These 5 Industries
A Progress Report
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Depending on the industry, digital transformation comes with its own unique trends, challenges, and opportunities. While enterprises in every sector are leveraging next generation technologies, there are five that are regarded as bellwether industries in digital transformation.
Each of these industries share a common ambition to modernize processes. From artificial intelligence (AI) and the Internet of Things (IoT) to cloud computing and blockchain, these sectors are leveraging all types of innovative solutions.
To understand more about the state of digital transformation in each of these industries, Enterprise Digitalization spoke to five experts:
Ryan Martin, Principal Analyst with ABI Research
John Slot, Chief Innovation Officer / Chief Operating Officer of the Central Florida Regional Transportation Authority (LYNX)
Bill Packer, Executive Vice President and Chief Operations Officer for American Financial Resources
Steve Vu, Director of Reliability Engineering at Starbucks
Rizwan Jan, Vice President and Chief Information Officer of The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF)
After speaking to these experts, Enterprise Digitalization developed a progress report that provides the current 2019 status of digital transformation in each of these industries. It serves as a blueprint for how digital transformation can be leveraged by all smart companies hoping to unlock new opportunities.
Download this report to learn:
What are the drivers of digital transformation in each sector?
Are there still significant areas in each sector that are not modernized?
What are some specific use cases of digital transformation success within each industry?
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Today, modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT), as well as cloud solutions. There is more critical data to back up than ever before, as well as new privacy and security compliances. Enterprises are reexamining on-premises data protection, which has not kept pace with this new reality.\r\n
Consider that 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the previous year. Meanwhile, nearly half of organizations said they still rely on tape as their primary form of direct backup. Additionally, only 70 percent of on-premises data protection backup jobs are completed on time.\r\n
A growing number of businesses are thinking about moving data protection to the cloud, which is cost-effective, easier to manage, flexible, and more reliable. Just a couple of years ago, the public cloud was considered too dangerous and unreliable for storing sensitive company data. Today, it is seen as a critical aspect of data protection.\r\n
How can you optimize your cloud data protection strategies? Download this report to learn:\r\n
\r\n
The important differences between on-premises, hybrid, hosted, and cloud-native data protection and management solutions\r\n
The ABCs of recovery time objectives (RTOs) in the cloud\r\n
How cloud reliability has increased with improved physical security, continuous monitoring, frequent security audits, and new compliance measures.\r\n","featured":"1","show_title_text":"1","featured_image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/cloudonpremreport.jpg","featured_image_alt":null,"featured_image_title":null,"feature_description":"A growing number of businesses are thinking about moving data protection to the cloud, which is cost-effective, easier to manage, flexible, and more reliable.","mac_code":"ediq","slug":"cloud-data-backup-recovery-architectures","external_url":null,"newsletter_new_upcoming":"1","newsletter_you_missed":null,"newsletter_description":null,"newsletter_title":null,"published_date":"2019-06-24 00:00:00","visibility":1,"shared_content":false,"display_on_mobile":0,"google_news":false,"native_advertising":0,"video_title":null,"video_above_text":null,"video_below_text":null,"video_show_transcription":"0","video_transcription":null,"image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/securecloudtransformation_1.jpg","image_alt":null,"image_title":null,"newsletter_img":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/cloudonpremreport_1.jpg","oracle_id":null,"on24_event_id":null,"sky_event_code":null,"list_code":"IQM_40173.001 - A.E02A3 - 3","restriction":1,"redirect_url":null,"opt_in":0,"content_above":null,"content_below":null,"form_type_id":"5b200b670edcce79765be7e2","channel_id":"5baa7f12ab393942dc005628","primary_category_id":"5baa7fdbab393942dc00562c","sponsor_id":null,"inline_ad_id":"0","contributor_id":"5c351bbde38991741f0cd613","kickback_email_id":null,"external_form_id":null,"content_category_ids":["","5baa7fdbab393942dc00562c"],"content_type_id":"5ad7ded67339ff23cc0241fe","channel_column_id":null,"channel_podshow_id":null,"podcast_file":null,"podcast_mp3_title":null,"content_hub_id":null,"published":1,"created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-06-24 00:44:00","created_at":"2019-06-21 19:53:28","related":[],"secondary_contributor_ids":[""],"file_attachment":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/files\/channel_content\/posts\/e-book-the-definitive-guide-to-enterprise-data-backup-and-recovery-architectures_f4gCPTxvwWb7rFupMUBYV67x1NpJT7jGG9xwYcsd.pdf","updated_by_user_id":"5b46098543dfd06ba5393f19","content_restricted":"Today, modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT), as well as cloud solutions. There is more critical data to back up than ever before, as well as new privacy and security compliances. Enterprises are reexamining on-premises data protection, which has not kept pace with this new reality.\r\nConsider that 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the...","content_type_name":"Report","full_url":"\/cloud\/reports\/cloud-data-backup-recovery-architectures","contributor":{"_id":"5c351bbde38991741f0cd613","prefix":null,"first_name":"Steven","last_name":"Lerner","suffix":null,"email":"steven.lerner@enterprisemobilityexchange.com","phone":"848-448-3830","job_title":"Editor","company":"Enterprise Mobility Exchange","summary":null,"bio":null,"event_speaker":0,"meet_the_team":0,"advisor":0,"top_influencer":0,"country_id":"5a64e3fc7339ff3e4c005376","state_id":"5a7b6ab07339ff3d4c004d3c","image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/steven_lerner.png","company_image":null,"advisory_board_id":null,"approved":false,"active":true,"channel_id":"5baa7f12ab393942dc005628","user_id":"5b46098543dfd06ba5393f19","slug":"steven-lerner","created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-02-04 21:19:34","created_at":"2019-01-08 21:53:01","updated_by_user_id":"5b46098543dfd06ba5393f19","secondary_post_ids":["5d37834431202552902f6e75"]},"content_type":{"_id":"5ad7ded67339ff23cc0241fe","name":"Report","active":1,"updated_at":"2018-04-19 00:12:06","created_at":"2018-04-19 00:12:06","interested_company_ids":[]},"secondary_contributors":[],"primary_category":{"_id":"5baa7fdbab393942dc00562c","name":"Cloud","description":"Cloud computing is one of the leading technology components enabling digital transformation. Learn how enterprises are harnessing the cloud and reaping the benefits.","active":1,"channel_id":"5baa7f12ab393942dc005628","slug":"cloud","created_by_user_id":"5a6f802eab393924c4002eb3","updated_at":"2019-02-05 21:55:42","created_at":"2018-09-25 18:35:07","post_ids":[null],"showInNavigation":1,"updated_by_user_id":"5b46098543dfd06ba5393f19","webinar_ids":["5cd57bab31202536130aa902"]}},{"_id":"5cd0c7d93120250627210242","title":"Enterprise Evolution: How Digital Transformation Is Shaping Business","name":"Enterprise Evolution: How Digital Transformation Is Shaping Business","sub_title":"The Current State Of Digital Transformation","summary":"This report examines the key components enabling digital transformation, and the challenges of enterprises embarking on the digital transformation journey.","body":"
Many organizations have begun the process of evolving their enterprise through digital transformation. The journey often starts with deployment of an organization’s mobility strategy and has now broadened to include artificial intelligence (AI), machine learning, cloud computing, the internet of things (IoT), data analytics, and security. All of these technologies are essential, intertwined components for developing and implementing a transformative strategy.\r\n
Before embarking on the enterprise-shifting change, companies need to first pinpoint what needs and objectives the transformation will fulfill. What are the business drivers, how much should an organization spend, and how do you evaluate ROI? Where’s the digital focus? Is it on cloud migration? Is it mobile device management or implementation, such as wearables or rugged devices and the security that comes with them? How will AI and “Big Data” play into it?\r\n
From there, technology and business leaders can create a roadmap of digitization and its place throughout all of the enterprise’s processes.\r\n
This report uncovers the various avenues to be traversed in digital transformation and how they converge.\r\n
Download this report to learn:\r\n
\r\n
What is driving the rapid progression of digital transformation?\r\n
What are the key components enabling digital transformation?\r\n
How are enterprises leveraging artifical intelligence, cloud computing, mobility, IoT and the Internet of Things?\r\n\r\n
This article was originally published on Enterprise Mobility Exchange.","featured":"0","show_title_text":"1","featured_image":null,"featured_image_alt":null,"featured_image_title":null,"feature_description":null,"mac_code":"ediq","slug":"enterprise-evolution-digital-transformation","external_url":null,"newsletter_new_upcoming":"1","newsletter_you_missed":null,"newsletter_description":null,"newsletter_title":null,"published_date":"2019-05-10 00:00:00","visibility":1,"shared_content":false,"display_on_mobile":0,"google_news":false,"video_title":null,"video_above_text":null,"video_below_text":null,"video_show_transcription":"0","video_transcription":null,"image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/digitaltransformationtrendsbigthing_1.jpg","image_alt":null,"image_title":null,"newsletter_img":null,"oracle_id":null,"on24_event_id":null,"sky_event_code":null,"list_code":null,"restriction":1,"redirect_url":null,"opt_in":0,"content_above":null,"content_below":null,"form_type_id":"5ac369f0166d37458c000e73","channel_id":"5baa7f12ab393942dc005628","primary_category_id":"5baa7fdbab393942dc00562c","sponsor_id":null,"inline_ad_id":"0","contributor_id":"5cd0b6dad9bc963da6411e52","kickback_email_id":null,"external_form_id":null,"content_category_ids":["","5baa7fdbab393942dc00562c"],"content_type_id":"5ad7ded67339ff23cc0241fe","channel_column_id":null,"channel_podshow_id":null,"podcast_file":null,"podcast_mp3_title":null,"video_url":null,"content_hub_id":null,"published":1,"created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-05-10 00:00:02","created_at":"2019-05-06 23:48:41","secondary_contributor_ids":[""],"updated_by_user_id":"5b46098543dfd06ba5393f19","content_restricted":"Many organizations have begun the process of evolving their enterprise through digital transformation. The journey often starts with deployment of an organization’s mobility strategy and has now broadened to include artificial intelligence (AI), machine learning, cloud computing, the internet of things (IoT), data analytics, and security. All of these technologies are essential, intertwined components for developing and implementing a transformative strategy.\r\nBefore embarking on the enter...","content_type_name":"Report","full_url":"\/cloud\/reports\/enterprise-evolution-digital-transformation","contributor":{"_id":"5cd0b6dad9bc963da6411e52","prefix":null,"first_name":"Jeff","last_name":"Orr","suffix":null,"email":"jefforr@gmail.com","phone":"5413160008","job_title":"Writer and Principal Analyst","company":"Jeff Orr Consulting","summary":null,"bio":null,"event_speaker":0,"meet_the_team":0,"advisor":0,"top_influencer":0,"country_id":"5a64e3fc7339ff3e4c005376","state_id":"5a7b6ab07339ff3d4c004d41","image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/profile\/PVs1QJOdm8fOnNGVNlUP5JccSuRhl0ENKxq5lvXe.png","company_image":null,"advisory_board_id":null,"approved":false,"active":true,"channel_id":"5baa7f12ab393942dc005628","user_id":"5b303d7e43dfd0294021ad7d","slug":"jeff-orr","created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-05-06 22:36:16","created_at":"2019-05-06 22:36:10","cropped_company_image":null,"cropped_image":null,"updated_by_user_id":"5b46098543dfd06ba5393f19"},"content_type":{"_id":"5ad7ded67339ff23cc0241fe","name":"Report","active":1,"updated_at":"2018-04-19 00:12:06","created_at":"2018-04-19 00:12:06","interested_company_ids":[]},"secondary_contributors":[],"primary_category":{"_id":"5baa7fdbab393942dc00562c","name":"Cloud","description":"Cloud computing is one of the leading technology components enabling digital transformation. Learn how enterprises are harnessing the cloud and reaping the benefits.","active":1,"channel_id":"5baa7f12ab393942dc005628","slug":"cloud","created_by_user_id":"5a6f802eab393924c4002eb3","updated_at":"2019-02-05 21:55:42","created_at":"2018-09-25 18:35:07","post_ids":[null],"showInNavigation":1,"updated_by_user_id":"5b46098543dfd06ba5393f19","webinar_ids":["5cd57bab31202536130aa902"]}},{"_id":"5caacebad1d92e086949ad02","title":"Big Data: The Ultimate IT Guide","name":"Big Data: The Ultimate IT Guide","sub_title":"Insights From Industry-Leading Data Experts","summary":"The pressure is on for IT leaders to help their enterprises succeed during the age of big data. Many challenges could jeopardize an enterprise\u2019s big data aspirations.","body":"
Nearly every department in every major organization today has a purpose for big data, and yet it all comes down to IT to ensure that all potential data is collected, secure, accurate, and accessible for business users. This process is easier said than done, as there are often a myriad of challenges that prohibit IT leaders from ensuring a successful process for big data.\r\n
In a March 2019 survey by Enterprise Digitalization, 52% of respondents identified inaccurate or inconsistent data as the leading big data IT challenge. Another 26% are challenged by an inability to efficiently convert data into analytics-ready datasets. Finally, 22% identified siloed data as the biggest obstacle.\r\n
Although there are numerous solutions — including data cleansing and visualization tools —that can be leveraged to prevail against these big data challenges, IT leaders must collaborate across the enterprise to ensure that the business is finding value in the data.\r\n
“IT leaders need to ensure that the capabilities they build are aligned with strategic business initiatives,” said Julius Bogdan, director of analytics and data innovation at SCL Health. “They need to work hand in hand with the business to deliver the outcomes that the business is looking for, not just what the platform can deliver. That means that IT leaders need to track and explain the ROI for their solutions, and what key business initiatives those are advancing.”\r\n
Simply put, the pressure is on for IT leaders to help their enterprises succeed during the age of big data. If these challenges are left unchecked, it could jeopardize an enterprise’s big data aspirations.\r\n
Download this report to learn:\r\n
\r\n
What is the current state of big data technology?\r\n
What are the biggest IT challenges that threaten an enterprise’s big data endeavors?\r\n
How can IT leaders create a winning strategy for big data, and what are the most useful types of solutions?\r\n","featured":"1","show_title_text":"1","featured_image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/bigdatareport_1.jpg","featured_image_alt":null,"featured_image_title":null,"feature_description":"The pressure is on for IT leaders to help their enterprises succeed during the age of big data. Many challenges could jeopardize an enterprise\u2019s big data aspirations.","mac_code":"ediq","slug":"big-data-guide-it-leaders","external_url":null,"newsletter_new_upcoming":"1","newsletter_you_missed":null,"newsletter_description":null,"newsletter_title":null,"published_date":"2019-04-08 00:00:00","visibility":1,"shared_content":false,"display_on_mobile":0,"google_news":false,"video_title":null,"video_above_text":null,"video_below_text":null,"video_show_transcription":"0","video_transcription":null,"image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/bigdatareport.jpg","image_alt":null,"image_title":null,"newsletter_img":null,"oracle_id":null,"on24_event_id":null,"sky_event_code":null,"list_code":null,"restriction":1,"redirect_url":null,"opt_in":0,"content_above":null,"content_below":null,"form_type_id":"5ac369f0166d37458c000e73","channel_id":"5baa7f12ab393942dc005628","primary_category_id":"5baa7fcaab393942dc00562a","sponsor_id":null,"inline_ad_id":"0","contributor_id":"5c351bbde38991741f0cd613","kickback_email_id":null,"external_form_id":null,"content_category_ids":["","5baa7fcaab393942dc00562a"],"content_type_id":"5ad7ded67339ff23cc0241fe","channel_column_id":null,"channel_podshow_id":null,"podcast_file":null,"podcast_mp3_title":null,"video_url":null,"content_hub_id":null,"file_attachment":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/files\/channel_content\/posts\/ed-aprilreport-v5_lpcKhM2kKCN1yK6ya1PDNAvZLWmNUBQnZ5RhCCuS.pdf","published":1,"created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-04-30 13:07:39","created_at":"2019-04-08 04:31:54","secondary_contributor_ids":[""],"updated_by_user_id":"5b46098543dfd06ba5393f19","content_restricted":"Nearly every department in every major organization today has a purpose for big data, and yet it all comes down to IT to ensure that all potential data is collected, secure, accurate, and accessible for business users. This process is easier said than done, as there are often a myriad of challenges that prohibit IT leaders from ensuring a successful process for big data.\r\nIn a March 2019 survey by Enterprise Digitalization, 52% of respondents identified inaccurate or inconsistent data as the lea...","content_type_name":"Report","full_url":"\/data-analytics\/reports\/big-data-guide-it-leaders","contributor":{"_id":"5c351bbde38991741f0cd613","prefix":null,"first_name":"Steven","last_name":"Lerner","suffix":null,"email":"steven.lerner@enterprisemobilityexchange.com","phone":"848-448-3830","job_title":"Editor","company":"Enterprise Mobility Exchange","summary":null,"bio":null,"event_speaker":0,"meet_the_team":0,"advisor":0,"top_influencer":0,"country_id":"5a64e3fc7339ff3e4c005376","state_id":"5a7b6ab07339ff3d4c004d3c","image":"https:\/\/plsadaptive.s3.amazonaws.com\/eco\/images\/channel_content\/images\/steven_lerner.png","company_image":null,"advisory_board_id":null,"approved":false,"active":true,"channel_id":"5baa7f12ab393942dc005628","user_id":"5b46098543dfd06ba5393f19","slug":"steven-lerner","created_by_user_id":"5b46098543dfd06ba5393f19","updated_at":"2019-02-04 21:19:34","created_at":"2019-01-08 21:53:01","updated_by_user_id":"5b46098543dfd06ba5393f19","secondary_post_ids":["5d37834431202552902f6e75"]},"content_type":{"_id":"5ad7ded67339ff23cc0241fe","name":"Report","active":1,"updated_at":"2018-04-19 00:12:06","created_at":"2018-04-19 00:12:06","interested_company_ids":[]},"secondary_contributors":[],"primary_category":{"_id":"5baa7fcaab393942dc00562a","name":"Data Analytics","description":"Data analytics is one of the leading technology components enabling digital transformation. Learn how enterprises are harnessing data and reaping the benefits.","active":1,"channel_id":"5baa7f12ab393942dc005628","slug":"data-analytics","created_by_user_id":"5a6f802eab393924c4002eb3","updated_at":"2019-02-05 21:50:48","created_at":"2018-09-25 18:34:50","post_ids":[null],"showInNavigation":1,"updated_by_user_id":"5b46098543dfd06ba5393f19","webinar_ids":["5cd57bab31202536130aa902"]}},{"_id":"5c5dfbe4e3899126453b5e8e","title":"The Evolution Of Artificial Intelligence","name":"The Evolution Of Artificial Intelligence","sub_title":"What The Future Holds For AI","summary":"Artificial Intelligence (AI) has grown into a mainstream enterprise technology. Adoption of AI has increased by 270% in the past four years, with many enterprises leveraging a subset of AI called machine learning.","body":"
Artificial Intelligence (AI) has grown into a mainstream enterprise technology. Adoption of AI has increased by 270% in the past four years, with many enterprises leveraging a subset of AI called machine learning. Enterprises are using the technology for everything from bots to virtual assistants to software that automates workflows and decision-making.\r\n
Although AI is delivering returns for early adopters, most enterprises have not leveraged this solution yet. A 2019 poll found that 61% of companies are either not prepared or will never be prepared for AI. Many technology and business professionals fear that they are falling behind more agile and automated competitors. Common challenges for AI adoption include hiring the right talent for the technology, pressure from c-level to change, and lingering cultural hang-ups.\r\n
Beyond the organizational challenges, the success or failure of AI implementation rests with data. Failure to conduct proper data management is what sometimes holds an organization back from their AI dreams. Throw in the regulatory uncertainty with the technology, and some enterprises need guidance to overcame these problems and realize the benefits of AI.\r\n
Download this report to learn:\r\n
\r\n

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