2018 Predictions - Hurwitz & Associates...2018/03/12 · network, far from centralized data...
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Email not displaying correctly? View it in your browser. 2018 Predictions If 2017 was the year of massive hype around artificial intelligence, machine learning, security, and the cloud – 2018 will be a year where enterprises will begin to absorb these technologies. What is real? How can you really take complex emerging technologies and make them actionable? We won’t get all the answers but we suspect that smart business leaders will begin to put the pieces together and build strategies for success. Our predictions represent a subsection of all of the complex issues facing organizations in the coming year. We focus on five key issues: the emergence of the private cloud, refocus on high performance computing to support AI, the emergence of augmented intelligence, multi-cloud growth, storage management and security. We expect that 2018 will be an exciting year (hopefully not too exciting) and look forward to engaging with you. Below are our team’s predictions. We would love to hear your feedback – whether you agree or disagree with our predictions. We wish you a healthy, happy and prosperous new year. Judith Dan Jean Chris Caroline Judith's ( @jhurwitz) Predictions: The private cloud is a real thing and customers are beginning to transform their data centers into private cloud services. This does not mean that the data center will disappear. Instead, the data center will focus on particular high-end applications and workloads where there are a lot of dependencies. The private cloud is becoming a software-defined infrastructure that can leverage existing computing resources in innovative What we do Hurwitz & Associates is a thought leadership and consulting firm that focuses on how technology solutions solve real world business problems. More about our services . Latest News and Blogs Read the newest blogs and news from the Hurwitz team Hurwitz wants to know What are the new products and services that you are bringing to market? Our analysts would like to engage in a dialog. Cognitive Computing and Big Data Analytics
Transcript of 2018 Predictions - Hurwitz & Associates...2018/03/12 · network, far from centralized data...
Email not displaying correctly View it in your browser
2018 Predictions
If 2017 was the year of massive hype around artificialintelligence machine learning security and the cloud ndash2018 will be a year where enterprises will begin toabsorb these technologies
What is real How can you really take complexemerging technologies and make them actionable Wewonrsquot get all the answers but we suspect that smartbusiness leaders will begin to put the pieces togetherand build strategies for success
Our predictions represent a subsection of all of thecomplex issues facing organizations in the coming yearWe focus on five key issues the emergence ofthe private cloud refocus on high performancecomputing to support AI the emergence of augmentedintelligence multi-cloud growth storage managementand security We expect that 2018 will be an excitingyear (hopefully not too exciting) and look forward toengaging with you
Below are our teamrsquos predictions We would love tohear your feedback ndash whether you agree or disagreewith our predictions
We wish you a healthy happy and prosperous newyear
Judith Dan
Jean Chris Caroline
Judiths (jhurwitz) Predictions
The private cloud is a real thing and customersare beginning to transform their data centers intoprivate cloud services This does not mean that thedata center will disappear Instead the data center willfocus on particular high-end applications and workloadswhere there are a lot of dependencies The privatecloud is becoming a software-defined infrastructure thatcan leverage existing computing resources in innovative
What we do
Hurwitz amp Associates is a thoughtleadership and consulting firm thatfocuses on how technologysolutions solve real world businessproblems More about ourservices
Latest News and Blogs Read the newest blogs and news
from the Hurwitz team
Hurwitz wants to know What are the new products and
services that you are bringing tomarket Our analysts would like toengage in a dialog
Cognitive Computing and Big Data Analytics
ways The private cloud is a way of architecting thedata center so that some data and workloads canoperate within the firewall The private cloudarchitecture will be standards based and will leverageservices such as microservices and containers and well-defined APIs
A new generation of hardware is being
architected to support emerging ArtificialIntelligence workloads General-purpose hardwarewill still have its place but the innovation will befocused on developing hardware that is designed to themost complex and compute-intensive workloads
Cloud infrastructure services are increasinglymaturing so that the battle among cloudproviders will be around the ability to providehybrid cloud management data managementsecurity compliance and service levelagreements Up until now cloud vendors havedifferentiated themselves based on price and speed Inorder to survive cloud suppliers will have to move to ahigher level of service and manageability based onenterprise requirements
Augmented intelligence will become the mostimportant transformation in the movementtowards artificial intelligence This new generationof systems will be truly a collaboration betweenmachines and humans Augmented intelligenceemulates and extends human intelligence with data tofind the hidden meaning in the data Augmentedintelligence opens the potential to understand hiddendata in context with solving business problems
Dans (ddkirsch) Predictions
Every application will embed machine learning --even if they donrsquot We have seen an increasingnumber of vendors claim that their solutionsincorporate machine learning While there aredefinitely innovative applications that are becomingsmarter and more powerful many claims of ML and AIare simply not true Many applications are in factadding rules rather than intelligence Rule-basedsystems must be pre-programmed and cannot adapt asbusiness and customers change without manualintervention Conversely applications based onmachine learning will adapt as circumstances (anddata) change
Businesses will face reputational challenges whenthe public finds out the types of data thatare being used in unethical machine learning andanalytic models These unethical models could includedata on race ethnicity or sexual orientation In mostcases this additional data will be included as a result of
overfitting rather than improving the actual model It isimportant for companies to remember that just becauseyou can do something doesnrsquot mean you should Tokeep your business out of the headlines businessleaders should understand what data is included inmodels especially when that data involves customerinformation
Artificial Intelligence (AI) may destroy some jobsbut new ones will be created The focus of AI rightnow is on improving and changing the way employeeswork AI technology will be embedded withinapplications to improve decision making Likewiseemployee intuition will improve the output frommachines The problem with humans is that we havebuilt-in biases For example in 2007 many thought thathousing prices could never go down Likewisemachines have their downside they donrsquot always havethe context and broader framework in the decisionmaking process Moving forward AI systems will offersuggestions to humans but the human will be theultimate decision maker
Jeans (jbozman) Predictions
The drumbeat around Multi-Cloud will get louderin 2018 We expect to see a wave of multi-cloudannouncements in 2018 Drivers for multi-cloudinteroperability include customer demand to accessdata across clouds the increasing maturity of cloudsoftware the emergence of application programminginterfaces (APIs) to connect clouds ndash and the continuedmigration of enterprise applications into private publicand hybrid clouds Wersquore seeing more systems vendorsand cloud providers working together to offer softwaregateways that will allow multiple clouds to share datamore easily As customersrsquo links to Cloud ServiceProviders (CSPs) get stronger we expect to see morevendors announce their support for cloud-interoperability testing services
Edge Computing will become a new ldquohubrdquo fordata analytics in 2018 We will see much moreattention paid to computing at the ldquoedgerdquo of thenetwork far from centralized data centers in 2018 Infact the ldquoedgerdquo will become an extension of businessesrsquooverall cloud environment that is necessary to supporta sensor-based IoT world City infrastructure (egstreets and traffic flow) retail stores oil-rigs factoriesfarms and sports stadiums ndash are all generating rapidgrowth for remote data which must be filtered andanalyzed to find actionable data for the business Edgecomputing becomes a necessity for analyzing this dataat the point of origin because of cost ndash and latencyassociated with data transmission Once data has beenanalyzed at the edge it can be efficiently shipped to acentral location to inform business planning
In 2018 we will see the emergence of morecapable storage management tools that candiscover monitor and protect storage resourcesacross on-premises storage devices and cloudstorage services To be truly useful storagemanagement tools must be pervasive powerful andsecure They must be capable of migrating data fromplace to place as needed to improve operationalefficiency Adding automation and AIML software tothe process will help to address the complexities ofhands-on-only storage management seen by IT staffersworking in hybrid cloud environments
Chris (cchristiansen) Predictions
Speed of light cripples IoT security For real-timeIoT systems (eg automotive industrialtransportation etc) latency can cause a dramaticincrease in the potential for security breaches Onesolution that is emerging is to move compute resourcesphysically closer to the edge devices that require real-time collaboration response and security updates
Biometrics Hurt Security Biometrics (finger faceeye identification techniques) that can supersedepasswords offer a potential solution to securityvulnerabilities However the reliance on a singleauthentication factor (ie finger face password orPIN)) can lead to serious hacking or coercion Despitepressure for convenient password replacements smartsecurity professional will continue requiring passwordsand Pins for multi-factor authentication along withbiometrics based on risk scores derived from contextualanalysis
The Security Tax starts to pay dividends For well-funded corporations and strongly authenticatedcustomers partners and suppliers the security taxstarts to pay off as behavioral analytics and blockchainledgers reduce fraud and accelerate trustedtransactions AI and machine learning-based threathunting turn security from reactive nightmares into anintelligence-based maps of attackers and targets
You are receiving this email because you have previously opted in to receive our Hurwitz amp AssociatesNewsletter If you no longer wish to receive our newsletter you may unsubscribe below
Unsubscribe ltltEmail Addressgtgt from this list
Our mailing address is
Hurwitz amp Associates35 Highland Circle
Needham MA 02494
Add us to your address book
Copyright (C) 2017 Hurwitz amp Associates All rights reserved
Forward this email to a friend Update your profile
ways The private cloud is a way of architecting thedata center so that some data and workloads canoperate within the firewall The private cloudarchitecture will be standards based and will leverageservices such as microservices and containers and well-defined APIs
A new generation of hardware is being
architected to support emerging ArtificialIntelligence workloads General-purpose hardwarewill still have its place but the innovation will befocused on developing hardware that is designed to themost complex and compute-intensive workloads
Cloud infrastructure services are increasinglymaturing so that the battle among cloudproviders will be around the ability to providehybrid cloud management data managementsecurity compliance and service levelagreements Up until now cloud vendors havedifferentiated themselves based on price and speed Inorder to survive cloud suppliers will have to move to ahigher level of service and manageability based onenterprise requirements
Augmented intelligence will become the mostimportant transformation in the movementtowards artificial intelligence This new generationof systems will be truly a collaboration betweenmachines and humans Augmented intelligenceemulates and extends human intelligence with data tofind the hidden meaning in the data Augmentedintelligence opens the potential to understand hiddendata in context with solving business problems
Dans (ddkirsch) Predictions
Every application will embed machine learning --even if they donrsquot We have seen an increasingnumber of vendors claim that their solutionsincorporate machine learning While there aredefinitely innovative applications that are becomingsmarter and more powerful many claims of ML and AIare simply not true Many applications are in factadding rules rather than intelligence Rule-basedsystems must be pre-programmed and cannot adapt asbusiness and customers change without manualintervention Conversely applications based onmachine learning will adapt as circumstances (anddata) change
Businesses will face reputational challenges whenthe public finds out the types of data thatare being used in unethical machine learning andanalytic models These unethical models could includedata on race ethnicity or sexual orientation In mostcases this additional data will be included as a result of
overfitting rather than improving the actual model It isimportant for companies to remember that just becauseyou can do something doesnrsquot mean you should Tokeep your business out of the headlines businessleaders should understand what data is included inmodels especially when that data involves customerinformation
Artificial Intelligence (AI) may destroy some jobsbut new ones will be created The focus of AI rightnow is on improving and changing the way employeeswork AI technology will be embedded withinapplications to improve decision making Likewiseemployee intuition will improve the output frommachines The problem with humans is that we havebuilt-in biases For example in 2007 many thought thathousing prices could never go down Likewisemachines have their downside they donrsquot always havethe context and broader framework in the decisionmaking process Moving forward AI systems will offersuggestions to humans but the human will be theultimate decision maker
Jeans (jbozman) Predictions
The drumbeat around Multi-Cloud will get louderin 2018 We expect to see a wave of multi-cloudannouncements in 2018 Drivers for multi-cloudinteroperability include customer demand to accessdata across clouds the increasing maturity of cloudsoftware the emergence of application programminginterfaces (APIs) to connect clouds ndash and the continuedmigration of enterprise applications into private publicand hybrid clouds Wersquore seeing more systems vendorsand cloud providers working together to offer softwaregateways that will allow multiple clouds to share datamore easily As customersrsquo links to Cloud ServiceProviders (CSPs) get stronger we expect to see morevendors announce their support for cloud-interoperability testing services
Edge Computing will become a new ldquohubrdquo fordata analytics in 2018 We will see much moreattention paid to computing at the ldquoedgerdquo of thenetwork far from centralized data centers in 2018 Infact the ldquoedgerdquo will become an extension of businessesrsquooverall cloud environment that is necessary to supporta sensor-based IoT world City infrastructure (egstreets and traffic flow) retail stores oil-rigs factoriesfarms and sports stadiums ndash are all generating rapidgrowth for remote data which must be filtered andanalyzed to find actionable data for the business Edgecomputing becomes a necessity for analyzing this dataat the point of origin because of cost ndash and latencyassociated with data transmission Once data has beenanalyzed at the edge it can be efficiently shipped to acentral location to inform business planning
In 2018 we will see the emergence of morecapable storage management tools that candiscover monitor and protect storage resourcesacross on-premises storage devices and cloudstorage services To be truly useful storagemanagement tools must be pervasive powerful andsecure They must be capable of migrating data fromplace to place as needed to improve operationalefficiency Adding automation and AIML software tothe process will help to address the complexities ofhands-on-only storage management seen by IT staffersworking in hybrid cloud environments
Chris (cchristiansen) Predictions
Speed of light cripples IoT security For real-timeIoT systems (eg automotive industrialtransportation etc) latency can cause a dramaticincrease in the potential for security breaches Onesolution that is emerging is to move compute resourcesphysically closer to the edge devices that require real-time collaboration response and security updates
Biometrics Hurt Security Biometrics (finger faceeye identification techniques) that can supersedepasswords offer a potential solution to securityvulnerabilities However the reliance on a singleauthentication factor (ie finger face password orPIN)) can lead to serious hacking or coercion Despitepressure for convenient password replacements smartsecurity professional will continue requiring passwordsand Pins for multi-factor authentication along withbiometrics based on risk scores derived from contextualanalysis
The Security Tax starts to pay dividends For well-funded corporations and strongly authenticatedcustomers partners and suppliers the security taxstarts to pay off as behavioral analytics and blockchainledgers reduce fraud and accelerate trustedtransactions AI and machine learning-based threathunting turn security from reactive nightmares into anintelligence-based maps of attackers and targets
You are receiving this email because you have previously opted in to receive our Hurwitz amp AssociatesNewsletter If you no longer wish to receive our newsletter you may unsubscribe below
Unsubscribe ltltEmail Addressgtgt from this list
Our mailing address is
Hurwitz amp Associates35 Highland Circle
Needham MA 02494
Add us to your address book
Copyright (C) 2017 Hurwitz amp Associates All rights reserved
Forward this email to a friend Update your profile
overfitting rather than improving the actual model It isimportant for companies to remember that just becauseyou can do something doesnrsquot mean you should Tokeep your business out of the headlines businessleaders should understand what data is included inmodels especially when that data involves customerinformation
Artificial Intelligence (AI) may destroy some jobsbut new ones will be created The focus of AI rightnow is on improving and changing the way employeeswork AI technology will be embedded withinapplications to improve decision making Likewiseemployee intuition will improve the output frommachines The problem with humans is that we havebuilt-in biases For example in 2007 many thought thathousing prices could never go down Likewisemachines have their downside they donrsquot always havethe context and broader framework in the decisionmaking process Moving forward AI systems will offersuggestions to humans but the human will be theultimate decision maker
Jeans (jbozman) Predictions
The drumbeat around Multi-Cloud will get louderin 2018 We expect to see a wave of multi-cloudannouncements in 2018 Drivers for multi-cloudinteroperability include customer demand to accessdata across clouds the increasing maturity of cloudsoftware the emergence of application programminginterfaces (APIs) to connect clouds ndash and the continuedmigration of enterprise applications into private publicand hybrid clouds Wersquore seeing more systems vendorsand cloud providers working together to offer softwaregateways that will allow multiple clouds to share datamore easily As customersrsquo links to Cloud ServiceProviders (CSPs) get stronger we expect to see morevendors announce their support for cloud-interoperability testing services
Edge Computing will become a new ldquohubrdquo fordata analytics in 2018 We will see much moreattention paid to computing at the ldquoedgerdquo of thenetwork far from centralized data centers in 2018 Infact the ldquoedgerdquo will become an extension of businessesrsquooverall cloud environment that is necessary to supporta sensor-based IoT world City infrastructure (egstreets and traffic flow) retail stores oil-rigs factoriesfarms and sports stadiums ndash are all generating rapidgrowth for remote data which must be filtered andanalyzed to find actionable data for the business Edgecomputing becomes a necessity for analyzing this dataat the point of origin because of cost ndash and latencyassociated with data transmission Once data has beenanalyzed at the edge it can be efficiently shipped to acentral location to inform business planning
In 2018 we will see the emergence of morecapable storage management tools that candiscover monitor and protect storage resourcesacross on-premises storage devices and cloudstorage services To be truly useful storagemanagement tools must be pervasive powerful andsecure They must be capable of migrating data fromplace to place as needed to improve operationalefficiency Adding automation and AIML software tothe process will help to address the complexities ofhands-on-only storage management seen by IT staffersworking in hybrid cloud environments
Chris (cchristiansen) Predictions
Speed of light cripples IoT security For real-timeIoT systems (eg automotive industrialtransportation etc) latency can cause a dramaticincrease in the potential for security breaches Onesolution that is emerging is to move compute resourcesphysically closer to the edge devices that require real-time collaboration response and security updates
Biometrics Hurt Security Biometrics (finger faceeye identification techniques) that can supersedepasswords offer a potential solution to securityvulnerabilities However the reliance on a singleauthentication factor (ie finger face password orPIN)) can lead to serious hacking or coercion Despitepressure for convenient password replacements smartsecurity professional will continue requiring passwordsand Pins for multi-factor authentication along withbiometrics based on risk scores derived from contextualanalysis
The Security Tax starts to pay dividends For well-funded corporations and strongly authenticatedcustomers partners and suppliers the security taxstarts to pay off as behavioral analytics and blockchainledgers reduce fraud and accelerate trustedtransactions AI and machine learning-based threathunting turn security from reactive nightmares into anintelligence-based maps of attackers and targets
You are receiving this email because you have previously opted in to receive our Hurwitz amp AssociatesNewsletter If you no longer wish to receive our newsletter you may unsubscribe below
Unsubscribe ltltEmail Addressgtgt from this list
Our mailing address is
Hurwitz amp Associates35 Highland Circle
Needham MA 02494
Add us to your address book
Copyright (C) 2017 Hurwitz amp Associates All rights reserved
Forward this email to a friend Update your profile
In 2018 we will see the emergence of morecapable storage management tools that candiscover monitor and protect storage resourcesacross on-premises storage devices and cloudstorage services To be truly useful storagemanagement tools must be pervasive powerful andsecure They must be capable of migrating data fromplace to place as needed to improve operationalefficiency Adding automation and AIML software tothe process will help to address the complexities ofhands-on-only storage management seen by IT staffersworking in hybrid cloud environments
Chris (cchristiansen) Predictions
Speed of light cripples IoT security For real-timeIoT systems (eg automotive industrialtransportation etc) latency can cause a dramaticincrease in the potential for security breaches Onesolution that is emerging is to move compute resourcesphysically closer to the edge devices that require real-time collaboration response and security updates
Biometrics Hurt Security Biometrics (finger faceeye identification techniques) that can supersedepasswords offer a potential solution to securityvulnerabilities However the reliance on a singleauthentication factor (ie finger face password orPIN)) can lead to serious hacking or coercion Despitepressure for convenient password replacements smartsecurity professional will continue requiring passwordsand Pins for multi-factor authentication along withbiometrics based on risk scores derived from contextualanalysis
The Security Tax starts to pay dividends For well-funded corporations and strongly authenticatedcustomers partners and suppliers the security taxstarts to pay off as behavioral analytics and blockchainledgers reduce fraud and accelerate trustedtransactions AI and machine learning-based threathunting turn security from reactive nightmares into anintelligence-based maps of attackers and targets
You are receiving this email because you have previously opted in to receive our Hurwitz amp AssociatesNewsletter If you no longer wish to receive our newsletter you may unsubscribe below
Unsubscribe ltltEmail Addressgtgt from this list
Our mailing address is
Hurwitz amp Associates35 Highland Circle
Needham MA 02494
Add us to your address book
Copyright (C) 2017 Hurwitz amp Associates All rights reserved
Forward this email to a friend Update your profile
Needham MA 02494
Add us to your address book
Copyright (C) 2017 Hurwitz amp Associates All rights reserved
Forward this email to a friend Update your profile
