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more than a few adjustments to cloud features introduced all the way through the think convention, all aimed at helping purchasers go basically hybrid
Following its $33 billion (€29.2 billion) acquisition of the open supply Linux enterprise purple Hat remaining yr, IBM has evidently set out its method for the future, and it is all in regards to the hybrid cloud.
“IBM will develop into the area’s number 1 hybrid cloud provider, providing organizations the simplest open cloud solution so one can unencumber the whole cost of the cloud for his or her businesses,” IBM CEO Ginni Rometty stated on the time of the acquisition, making a transparent statement related to IBM’s hybrid-led method. in addition, she told CNBC that hybrid cloud is a “trillion greenback market and we’ll be number one”.
all over the enterprise’s flagship think adventure in San Francisco, the seller firmed up these plans with a raft of announcements aimed at practically helping shoppers circulate to a hybrid cloud model, from a brand new integration platform to a military of consultants concentrated on helping purchasers go hybrid.
Accommodating workloads Hybrid cloud is an business IT method that comprises operating certain workloads across distinctive infrastructure environments, be it one of the crucial major public cloud suppliers (Amazon internet functions (AWS), Microsoft Azure or Google Cloud Platform (GCP), a private cloud, or on-premise, customarily with a homegrown orchestration layer on appropriate. Multi-cloud is an analogous thought but tends to now not involve deepest cloud or on-premises infrastructure.
This structure permits companies to diversify their spend and capabilities, build resiliency and cherry select points and capabilities depending on where they see a dealer’s strengths.
That ultimate half is above all said in the enviornment of AI and computing device studying, where agencies like HSBC and the Telegraph Media neighborhood have chosen GCP for its AI aspects on my own (The Telegraph has considering the fact that long past ‘all in’ on GCP).
Santander financial institution additionally announced this week during suppose that it could be investing $seven hundred million (€618.8 million) over five years to vicinity IBM as “one in every of Santander group’s leading transformation accomplice — assisting Banco Santander to enforce their hybrid cloud method.”
IBM is aiding the financial institution with its “methodologies and approaches to speed up that transformation adventure. additionally, the bank is the usage of a range of applied sciences together with IBM DevOps solutions and IBM API join, aimed to enhance, iterate and launch new or upgraded purposes and digital services an awful lot extra all of a sudden,” according to a press release.
Banking, with all of its legacy expertise, looks the most naturally inclined business to show to hybrid cloud. Regulatory and safety issues leave them wanting to keep key facts and workloads on-premise, but newfound competitors from agile fintechs skill they deserve to stream to the kind of sooner deployment cycles that may best be done in a cloud atmosphere. IBM boasts of BNP Paribas, Westpac, Lloyds Banking neighborhood, credit Mutuel, Krungsri, Royal financial institution of Canada, and Mizuho financial institution all turning to them for hybrid cloud solutions.
basically, a contemporary report from 451 research found that 60% of EMEA and North American monetary capabilities groups predict to run a multi-cloud architecture within the subsequent two years.
assisting to head hybridThe two major announcements through IBM concentrated on first assisting clients go hybrid, and secondly opening up its cognitive IBM Watson functions to run throughout the main public cloud suppliers’ infrastructure.
the primary announcement turned into in fact a whole latitude of tools and features “to support agencies migrate, integrate and manipulate functions and workloads seamlessly and with security across any public or private cloud and on-premises IT environment,” the seller observed in an announcement.
greater primarily, this comprises a brand new IBM Cloud Integration Platform to help operate cloud functions across cloud and on-premise environments under one, cozy operating model and toolset. The ‘container-primarily based’ platform guarantees handy porting of data and purposes throughout infrastructure and aligns API management, pursuits and enterprise messaging.
On the services side, IBM looks to be aligning a great deal of its income and consulting groups around advising customers on “the way to architect the right holistic cloud approach from design, migration, integration, road mapping and architectural services to navigating their experience to cloud,” the supplier pointed out.
Watson run The 2d announcement changed into the hole out of its AI provider, IBM Watson, to run on rival public cloud infrastructure, particularly: AWS, Azure and GCP.
Watson, which started lifestyles beating people at the game show Jeopardy!, is a suite of AI equipment that permit all kinds of establishments to strengthen AI capabilities to apply to their company issues, basically by means of Watson Assistant chatbots.
“companies have generally been confined to experimenting with AI in siloes as a result of the boundaries brought about by means of cloud company lock-in of their facts,” talked about Rob Thomas, general supervisor for IBM facts and AI. “With most big companies storing information across hybrid cloud environments, they want the freedom and choice to observe AI to their statistics wherever it is stored. through breaking open that siloed infrastructure they will support agencies speed up their transformation via AI.”
In practice this skill “Watson and Watson OpenScale can now be run in any atmosphere – on premises, or on any private, public or hybrid-multicloud – enabling groups to follow AI to data anywhere it is hosted,” the supplier referred to.
“companies will be in a position to infuse AI into their apps, in spite of where they dwell. the pliability this affords can get rid of some of the important limitations to scaling AI, because businesses can now depart records in at ease or favorite environments and take Watson to that statistics.”
beneath the hood this capability a brand new set of Watson microservices which have been containerised the use of Kubernetes in order that they may also be run in IBM Cloud or another public, hybrid or multi-cloud environment.
Cloud market implications As AWS has grown its trade hegemony, many of its opponents are searching much less to compete, and more to enhance Amazon, whereas additionally enjoying on consumer’s fears of supplier lock-in.
IBM has long been a player in the cloud dealer wars however has languished backyard of the ‘massive three’. With this flow IBM is essentially route correcting, environment out its stall to be the hybrid cloud provider: an independent intermediary to help shoppers take competencies of hybrid cloud deployments with much less of the overhead customarily required. by means of being as open, and open source, as possible, IBM is displaying purchasers that it could be an unbiased player within the cloud market.
There are of course different options for this, OpenStack for one, and tooling like Cisco CloudCenter or VMware vCloud Suite, however there are few which have the aid and new focal point of IBM. The big three all have their personal hybrid options too, corresponding to Azure Stack and AWS Outposts, but these once again come with a definite diploma of seller lock-in.
Commenting on the information, Nick McQuire, VP of business research at CCS perception pointed out: “IBM’s AI business took centre stage at suppose 2019 and the experience’s principal announcements replicate a plenty clearer and differentiated strategy rising from IBM at the moment.”
He delivered that Watson any place is “a tremendous stake within the ground in the enterprise AI market and a key logo of the brand new religion taking shape in IBM now concentrated on hybrid, multi-cloud services, Kubernetes containers and its crimson Hat acquisition.”
IDG news serviceextra Articles ← old next →
The announcements IBM made eventually week's suppose 2019 convention around Watson AI capabilities are smartly timed to satisfy evolving cloud computing calls for.
IBM observed that through their Watson anywhere initiative they're making Watson AI capabilities purchasable across AWS, Azure and GCP, in addition to their own IBM Cloud choices.
For cases the place groups may additionally want to increase and/or run AI-based mostly functions in deepest clouds or their own facts centers, the company is licensing Watson to be capable of run locally.
Ever due to the fact that the upward thrust to prominence of cloud computing, we've seen agencies grapple with a way to most beneficial suppose about and leverage this new capability of computing. Some companies, specifically net-concentrated ones, dove in head first and also have their complete existence stylish on services like Amazon's AWS (Amazon web functions) (NASDAQ:AMZN), Microsoft's Azure (NASDAQ:MSFT), and Google's Cloud Platform (GCP) (NASDAQ:GOOG) (NASDAQ:GOOGL). for many traditional companies, however, the procedure of moving toward the cloud hasn't been very nearly as clear, nor as effortless. as a result of tremendous investments in their personal actual data facilities, heaps of legacy functions, and many different personalized utility investments that weren't firstly designed with the cloud in mind, the transition to cloud computing has been a lot slower.
one of the vital hindrances in moving to the cloud for these typical companies is that the shift has often required a monolithic exchange to a completely new, different classification of computing. needless to say, that's now not convenient to do, specially if the option you're relocating to is considered as a novel option, with few options. In specific, because AWS turned into so dominant within the early days of cloud computing, many companies have been frightened of getting locked into this new ambiance.
As choice cloud computing offerings from Microsoft, Google, IBM (NYSE:IBM), Oracle (NYSE:ORCL), SAP (NYSE:SAP) and others started to kick in, however, corporations all started to look that numerous attainable alternate options had been obtainable. What's been occurring in the cloud computing world over the remaining 12-18 months is greater than simply an easy raise in aggressive alternate options. or not it's a significant enlargement in considering how to strategy computing in the cloud. With multi-cloud, as an example, groups are now embracing, instead of rejecting, the concept of having various kinds of workloads hosted by using different companies.
In a means, we're seeing cloud computing evolve in the same path to normal computing developments, but at a a whole lot quicker pace. The initial AWS choices, for example, weren't that conceptually different from mainframe-based efforts, concentrated round a platform managed through a single seller. The aggregate of recent choices from different vendors as well as various kinds of supported workloads could be seen as a theoretical corresponding to more heterogenous computing fashions. The flow to containers and microservices across numerous cloud computing providers in many ways mirrors the customer-server evolution stage of computing. ultimately, the contemporary construction of "serverless" models for cloud computing may be regarded roughly analogous to the advancements in side computing.
in this context, bulletins that IBM made finally week's believe 2019 conference around their Watson AI services are smartly timed to meet evolving cloud computing calls for. notably, the business observed that through their Watson anyplace initiative they were going to be making Watson AI services obtainable throughout AWS, Azure, and GCP, apart from their own IBM Cloud offerings. additionally, for situations the place organizations might also are looking to boost and-or run AI-based mostly functions in private clouds or their own statistics facilities, the enterprise is licensing Watson to be capable of run in the community.
constructing on the enterprise's Cloud inner most for information as a base platform, IBM is providing a decision of Watson APIs or direct access to the Watson Assistant across all of the up to now outlined cloud platforms, as well as programs working crimson Hat OpenShift or Open Stack across a lot of distinct environments.
This offers companies the flexibility they are actually anticipating to entry these features across more than a few cloud computing choices. in reality, corporations can get the AI computing materials they want, inspite of the category of cloud computing efforts they've chosen to make. even if it's including cognitive services capabilities to an present legacy software it is been lifted and shifted to the cloud, or architecting a completely new microservices-based mostly carrier leveraging cloud-native structures and protocols, the range of flexibility being offered to groups looking to movement extra of their efforts to the cloud are growing dramatically.
carriers who need to handle these wants will have to undertake this greater flexible category of thinking and adapt or enhance functions that in shape not simplest the reality of the multi-cloud world, but the range of choices that these new alternate options are beginning to allow. The implications of multi-cloud are significantly larger, although, than just having a decision of vendors or making a choice on to host certain workloads with one seller and different workloads with one other. Multi-cloud is basically enabling organizations to think about cloud computing in a more bendy, approachable manner. it's precisely the type of development the business needs to take cloud computing into the mainstream.
Disclaimer: one of the writer's shoppers are carriers in the tech trade.
Feb 12, 2019
At IBM believe 2019 in San Francisco, IBM introduced enhancements to IBM Cloud inner most to convey built-in platform administration and orchestration capabilities—to help allow a at ease inner most cloud through working the total deepest cloud infrastructure on IBM Z.
There are additionally new additions to the IBM Cloud Hyper offer protection to family unit of cloud native capabilities aimed at proposing a relaxed hybrid cloud. This comprises three functions that carry IBM LinuxONE into IBM’s world public cloud facts facilities.
the new enhancements had been outlined in a weblog by using Ross Mauri, standard manager, IBM Z.
in line with Mauri, the enhancements to IBM Cloud inner most deliver integrated platform administration and orchestration capabilities with a secured deepest cloud via running the whole deepest cloud infrastructure on IBM Z. Enhancements for IBM Cloud private on Z, deliberate for GA in March 2019, consist of:
in the IBM Cloud Hyper protect household of cloud-native services geared toward proposing a relaxed hybrid cloud, IBM has additionally added three functions that bring IBM LinuxONE into IBM’s global public cloud information facilities.
throughout the IBM Cloud catalog, IBM says, it is assisting to make strategies more straightforward for business builders by using offering them entry to protection and resiliency capabilities to modernize their purposes within the IBM Cloud.
This includes the common availability of Hyper offer protection to Crypto functions planned for March 2019 which gives businesses with encryption key management carrier with a dedicated cloud hardware security module (HSM) developed on FIPS one hundred forty-2 degree 4-based technology with certification at the moment in development. here is designed to enable keep Your own Key (KYOK) for cloud facts encryption. enterprises can't most effective entirely manipulate their encryption keys on the cloud, but they're going to also have exclusive manage of the HSMs that offer protection to these keys. IBM Cloud for VMware will help this KYOK via Hyper give protection to Crypto capabilities.
there is additionally an experimental liberate of Hyper protect digital Servers, enabling builders to instantiate LinuxONE VMs to build out their public cloud solutions. The carrier can also help IBM Z Linux enterprise purchasers on their cloud adventure with additional self assurance and assurance.
In December, IBM also announced a beta of Hyper protect DBaaS, enabling business builders to provision and manage extremely secured (PostgreSQL, MongoDB EE) databases in the cloud with data confidentiality.
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A range of changes to cloud services announced during the Think conference, all aimed at helping customers go truly hybrid
Following its $33 billion (€29.2 billion) acquisition of the open source Linux company Red Hat last year, IBM has clearly set out its strategy for the future, and it is all about the hybrid cloud.
“IBM will become the world’s number one hybrid cloud provider, offering companies the only open cloud solution that will unlock the full value of the cloud for their businesses,” IBM CEO Ginni Rometty said at the time of the acquisition, making a clear statement regarding IBM’s hybrid-led strategy. Furthermore, she told CNBC that hybrid cloud is a “trillion dollar market and we’ll be number one”.
During the company’s flagship Think event in San Francisco, the vendor firmed up these plans with a raft of announcements aimed at practically helping customers move to a hybrid cloud model, from a new integration platform to an army of consultants focused on helping customers go hybrid.
Accommodating workloads Hybrid cloud is an enterprise IT strategy that involves operating certain workloads across different infrastructure environments, be it one of the major public cloud providers (Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP), a private cloud, or on-premise, typically with a homegrown orchestration layer on top. Multi-cloud is a similar idea but tends to not involve private cloud or on-premises infrastructure.
This architecture allows companies to diversify their spend and skills, build resiliency and cherry pick features and capabilities depending on where they see a vendor’s strengths.
That last part is particularly pronounced in the area of AI and machine learning, where companies like HSBC and the Telegraph Media Group have selected GCP for its AI features alone (The Telegraph has since gone ‘all in’ on GCP).
Santander bank also announced this week during Think that it will be investing $700 million (€618.8 million) over five years to place IBM as “one of Santander Group’s main transformation partner — helping Banco Santander to implement their hybrid cloud strategy.”
IBM is supporting the bank with its “methodologies and processes to accelerate that transformation journey. Additionally, the bank is using a range of technologies including IBM DevOps solutions and IBM API Connect, aimed to develop, iterate and launch new or upgraded applications and digital services much more rapidly,” according to a press release.
Banking, with all of its legacy technology, seems the most naturally inclined industry to turn to hybrid cloud. Regulatory and security concerns leave them wanting to keep key data and workloads on-premise, but newfound competition from agile fintechs means they need to move to the sort of faster deployment cycles that can only be achieved in a cloud environment. IBM boasts of BNP Paribas, Westpac, Lloyds Banking Group, Credit Mutuel, Krungsri, Royal Bank of Canada, and Mizuho Bank all turning to them for hybrid cloud solutions.
In fact, a recent report from 451 Research found that 60% of EMEA and North American financial services businesses expect to run a multi-cloud architecture within the next two years.
Helping to go hybridThe two major announcements by IBM focused on first helping customers go hybrid, and secondly opening up its cognitive IBM Watson services to run across the major public cloud providers’ infrastructure.
The first announcement was actually a whole range of tools and services “to help businesses migrate, integrate and manage applications and workloads seamlessly and with security across any public or private cloud and on-premises IT environment,” the vendor said in a press release.
More specifically, this includes a new IBM Cloud Integration Platform to help operate cloud services across cloud and on-premise environments under one, secure operating model and toolset. The ‘container-based’ platform promises easy porting of data and applications across infrastructure and aligns API management, events and enterprise messaging.
On the services side, IBM seems to be aligning much of its sales and consulting teams around advising customers on “how to architect the right holistic cloud strategy from design, migration, integration, road mapping and architectural services to navigating their journey to cloud,” the vendor said.
Watson run The second announcement was the opening out of its AI service, IBM Watson, to run on rival public cloud infrastructure, namely: AWS, Azure and GCP.
Watson, which started life beating humans at the game show Jeopardy!, is a suite of AI tools that allow all sorts of organisations to develop AI capabilities to apply to their business problems, primarily via Watson Assistant chatbots.
“Businesses have largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data,” said Rob Thomas, general manager for IBM Data and AI. “With most large organisations storing data across hybrid cloud environments, they need the freedom and choice to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure they can help businesses accelerate their transformation through AI.”
In practice this means “Watson and Watson OpenScale can now be run in any environment – on premises, or on any private, public or hybrid-multicloud – enabling businesses to apply AI to data wherever it is hosted,” the vendor said.
“Businesses will be able to infuse AI into their apps, regardless of where they reside. The flexibility this affords can remove one of the major obstacles to scaling AI, since businesses can now leave data in secure or preferred environments and take Watson to that data.”
Under the hood this means a new set of Watson microservices that have been containerised using Kubernetes so that they can be run in IBM Cloud or any other public, hybrid or multi-cloud environment.
Cloud market implications As AWS has grown its industry hegemony, many of its rivals are looking less to compete, and more to complement Amazon, while also playing on customer’s fears of vendor lock-in.
IBM has long been a player in the cloud vendor wars but has languished outside of the ‘big three’. With this move IBM is essentially course correcting, setting out its stall to be the hybrid cloud provider: an independent middleman to help customers take advantage of hybrid cloud deployments with less of the overhead typically required. By being as open, and open source, as possible, IBM is showing customers that it will be an independent player in the cloud market.
There are of course other options for this, OpenStack for one, and tooling like Cisco CloudCenter or VMware vCloud Suite, but there are few that have the resource and new focus of IBM. The big three all have their own hybrid solutions too, such as Azure Stack and AWS Outposts, but these again come with a certain degree of vendor lock-in.
Commenting on the news, Nick McQuire, VP of enterprise research at CCS Insight said: “IBM’s AI business took centre stage at Think 2019 and the event’s major announcements reflect a much clearer and differentiated strategy emerging from IBM at the moment.”
He added that Watson Anywhere is “a major stake in the ground in the enterprise AI market and a key emblem of the new religion taking shape in IBM now focused on hybrid, multi-cloud services, Kubernetes containers and its Red Hat acquisition.”
IDG News ServiceMore Articles ← Previous Next →
Data sovereignty, service level guarantees and levels of latency all inform cloud decisions
Why, despite the inherent advantages of cloud, do 80 percent of mission-critical workloads and sensitive data remain on premise? This question loomed large at a specially-convened CBR Dining Club event, in association with IBM, which took place in early February.
The theme of the evening, ‘Moving VMware workloads to the cloud’, traded on the complementary benefits of virtualisation and cloud computing – namely, combining the efficiency and effectiveness of the virtual machine with the agility and elasticity of cloud.
For a taste of the evening of what was discussed on the evening, please watch their video interview with Lucas Wager , UKI Cloud Platform VMware Leader , IBM .
Opening the discussion, Lucas Wager, Cloud Sales Manager at IBM, suggested the 20 percent of workloads currently on cloud were there because migration was relatively easy. In some cases, these were “born-on-the-cloud workloads”, he said.
The remaining 80 per cent were more complex, often for applications that were out of support or where the location of data was limited by regulation. Performance is another area of concern. “Some businesses are saying, ‘I can’t afford a second of outage.” Lucas, featured in the video interview above, said IBM’s mission was to tackle those more complex, often VMware-based, workloads that remain on premise by demonstrating to businesses what was possible. They need to take the fear out of the process, he said.
Bharat Bhushan, CTO for Banking and Financial Markets at IBM UK, took a step back by grounding infrastructure decisions in the fundamentals of business objectives. Bhushan said organisations want to do four things: grow revenue, retain customers, attract new customers and operate efficiently (a 30-40 percent cost-to-income ratio when it came to financial services).
These drivers mean they are looking for faster, frictionless and more efficient straight-through processing. This often leads them to the cloud. Increasingly IBM is helping firms realise those efficiencies, Bhushan said, by splitting out larger applications and transforming them into microservices that could reside effectively and efficiently on the cloud.
Among the factors delegates said informed their cloud decision making were data sovereignty, service level guarantees and levels of latency.
VMware Solutions for IBM Cloud is currently available at over 60 data centres around the world.
‘Moving VMware workloads to the cloud’, a CBR Dining Club event in association with IBM, took place on 7 February 2019 at the Dorchester Hotel, London.
For more information on IBM’s workload solutions , just click here.
Until this week, no cloud provider allowed customers to use artificial intelligence offerings on a competitor's cloud. Once only available on IBM Cloud, Watson can now be accessed on any public, private or hybrid cloud environment.
The future of cloud is rarely discussed without mention of multicloud use.
The "decision to bring some Watson services to other cloud environments shows that IBM sees its future providing services across different cloud environments, not just its own," said Blair Hanley Frank, principal analyst at ISG, in an email to CIO Dive.
IBM's move could set the table for other cloud providers to follow, but currently there are no other participants in this race. Essentially, customers will be forced to evaluate the benefits of using Watson if they're an Amazon Web Services customer already using its AI functions like Rekognition and Polly.
The multicloud environment is a driver of efficiency, allows companies to avoid vendor lock-in and reduces IT spending. This trend paved the way for Watson's reach outside of IBM's cloud, even though it's built on the IBM Cloud Private for Data which requires buying into the platform, said Frank.
Cloud providers already have services that reach beyond their platform, especially in the communication market, noted Frank. "Many of those services have at least some degree of multicloud availability;" this may be the new frontier.It's all up in the clouds
Watson's cross-cloud availability begs the question, was this a real pain in the cloud market to begin with?
"I think there are smart people at Amazon Web Services, Microsoft Azure and Google that would've figured this out if there was really a need for it," said Sid Nag, senior director analyst at Gartner, in an interview with CIO Dive.
The market's potential expansion will be "driven by how much interaction it gets in the market and what workloads will be leveraging something like this," said Nag. Until vendors like Microsoft and Google start rolling out their own versions of a cross-cloud Watson, that question will go unanswered, though there are AI scalability concerns that need addressing.
The "decision to bring some Watson services to other cloud environments shows that IBM sees its future providing services across different cloud environments, not just its own."
Blair Hanley Frank
Principal analyst at ISG
Watson is a strong force in IBM's portfolio because it's not a single artificial intelligence, said Frank.
Watson is a home for "many things that IBM has placed under the same brand umbrella" and has reputable brand recognition, said Frank. That recognition will likely make the push for further enterprise adoption easier for IBM because Watson has strong sales liaisons between enterprise customers and IBM.
There isn't a one-size-fits-all approach to AI, so service providers have made their own offerings, "which is one of the easiest ways for enterprises to adopt those capabilities today," said Frank.
The ability for Watson to transcend clouds speaks to the rise in startups offering "off-the-shelf" AI solutions with APIs for integrations and the need for platforms to "streamline the training and operation of AI models in an enterprise context," said Frank.Workloads requiring Watson
Instead of mastering the cloud market at large, which IBM has been unable to do, it is honing in on one very important part: AI capabilities.
Companies will have to ask, which workloads would require something like Watson, where it's a single layer of AI functions running in multiple clouds, said Nag.
The move illustrates IBM's willingness to "meet the customer anywhere," which is most likely on another cloud, said Nag. IBM was never quite able to break out of the niche cloud category on Gartner's Magic Quadrant. Watson is making Big Blue's presence known on all other major cloud players.
Cloud compute infrastructure as a service encases computing resources with storage and networking abilities "owned by a service provider and offered to a customer on demand," according to Gartner.
IBM has seen hiccups in the cloud IaaS space, which have resulted in incidents that "negatively impacted its time to market," according to Gartner. But those dilemmas have led Big Blue to further high-value segments of the tech industry, including AI.
"I think there are smart people at Amazon Web Services, Microsoft Azure and Google that would've figured this out if there was really a need for it."
Gartner senior director analyst
Introducing Watson to competitors' cloud environments is IBM's way of saying "we don't want to compete with the Amazons and the Googles or the Azures of the world," according Nag.
While IBM has shown no indication that it's taking a step back from the cloud market, this is just the company's way of saying, "let's not compete in that market in that way," said Nag. "We're going to continue to drive adoption of those offerings but that's not going to be their main push."
Big Blue's longevity sits in specialized technologies. "One of the greatest things you learn in a transformation is what you are and what you aren't," said CEO Ginny Rometty, while speaking at Gartner Symposium/ITxpo in October.
AI helped redirect IBM's innovation pipeline after sitting six years in a revenue rut. IBM's pioneering technologies, from hard drives and quantum computing to the world's tiniest computer, cemented its legacy.
The Watson cloud news allows IBM to let its competitors fight the cloud battle while it's "going to elevate the conversation" and pursue solutions faster than other tech companies, said Nag.
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