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Channel programs News

Wade Tyler Millward

“We can‘t be essential unless our partners are skilled in our products and confident in going to their clients with our products and selling them with us and for IBM,” IBM channel chief Kate Woolley said.

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IBM has started giving registered members of its PartnerWorld program access to the training, badges and enablement IBM sales employees get along with a new learning hub for accessing materials.

The expansion is part of the Armonk, N.Y.-based tech giant’s investment in its partner program, IBM channel chief Kate Woolley told CRN in an interview.

“We can‘t be essential unless our partners are skilled in our products and confident in going to their clients with our products and selling them with us and for IBM,” said Woolley (pictured), general manager of the IBM ecosystem.

[RELATED: Channel Chief Kate Woolley: ‘No Better Time To Be An IBM Partner’]

Partners now have access to sales and technical badges showing industry expertise, according to a blog post Tuesday. Badges are shareable on LinkedIn and other professional social platforms. IBM sales representatives and partners will receive new content at the same time as it becomes available.

“This is the next step in that journey in terms of making sure that all of our registered partners have access to all of the same training, all of the same enablement materials as IBMers,” Woolley told CRN. “That’s the big message that we want people to hear. And then also in line with continuing to make it easier to do business with IBM, this has all been done through a much improved digital experience in terms of how our partners are able to access and consume.”

Among the materials available to IBM partners are scripts for sales demonstrations, templates for sales presentations and positioning offerings compared to competitors, white papers, analyst reports and solution briefs. Skilling and enablement materials are available through a new learning hub IBM has launched.

“The partners are telling us they want more expertise on their teams in terms of the IBM products that they‘re able to sell and how equipped they are to sell them,” Woolley said. “And as we look at what we’re hearing from clients as well, clients want that. … Our clients are saying, ‘We want more technical expertise. We want more experiential selling. We want IBM’ – and that means the IBM ecosystem as well – ‘to have all of that expertise and to have access to all the right enablement material to be able to engage with us as clients.’”

The company has doubled the number of brand-specialized partner sellers in the ecosystem and increased the number of technical partner sellers by more than 35 percent, according to IBM.

The company’s accurate program changes have led to improved deal registration and introduced to partners more than 7,000 potential deals valued at more than $500 million globally, according to IBM. Those numbers are based on IBM sales data from January 2022 to August.

Along with the expanded access to training and enablement resources, Woolley told CRN that another example of aligning the IBM sales force and partners was a single sales kickoff event for employees and partners. A year ago, two separate events were held.

“I want our partners to continue to feel and see this as a big investment in them and representative of how focused we are on the ecosystem and how invested we are,” she said.

Wade Tyler Millward

Wade Tyler Millward is an associate editor covering cloud computing and the channel partner programs of Microsoft, IBM, Red Hat, Oracle, Salesforce, Citrix and other cloud vendors. He can be reached at wmillward@thechannelcompany.com.

Tue, 04 Oct 2022 11:15:00 -0500 en text/html https://www.crn.com/news/channel-programs/ibm-expands-partner-access-to-training-resources
Killexams : IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions No result found, try new keyword!Industry-specific solutions in development cover verticals including manufacturing, financial services, healthcare, and transportation. Wed, 12 Oct 2022 13:27:00 -0500 en-US text/html https://www.cio.com/article/409679/ibm-and-aws-create-a-path-to-modernization-via-industry-specific-solutions.html Killexams : IBM gives partners access to internal sales training resources

IBM has started giving registered members of its PartnerWorld program access to the training, badges and enablement IBM sales employees get along with a new learning hub for accessing materials.

The expansion is part of the tech giant’s investment in its partner program, IBM channel chief Kate Woolley told CRN US in an interview.

“We can‘t be essential unless our partners are skilled in our products and confident in going to their clients with our products and selling them with us and for IBM,” said Woolley (pictured), general manager of the IBM ecosystem.

What’s changed for IBM partners?

Partners now have access to sales and technical badges showing industry expertise, according to a blog post Tuesday. Badges are shareable on LinkedIn and other professional social platforms. IBM sales representatives and partners will receive new content at the same time as it becomes available.

“This is the next step in that journey in terms of making sure that all of our registered partners have access to all of the same training, all of the same enablement materials as IBMers,” Woolley told CRN US. “That’s the big message that we want people to hear. And then also in line with continuing to make it easier to do business with IBM, this has all been done through a much improved digital experience in terms of how our partners are able to access and consume.”

Among the materials available to IBM partners are scripts for sales demonstrations, templates for sales presentations and positioning offerings compared to competitors, white papers, analyst reports and solution briefs. Skilling and enablement materials are available through a new learning hub IBM has launched.

“The partners are telling us they want more expertise on their teams in terms of the IBM products that they‘re able to sell and how equipped they are to sell them,” Woolley said. “And as we look at what we’re hearing from clients as well, clients want that. … Our clients are saying, ‘We want more technical expertise. We want more experiential selling. We want IBM’ – and that means the IBM ecosystem as well – ‘to have all of that expertise and to have access to all the right enablement material to be able to engage with us as clients.’”

The company has doubled the number of brand-specialized partner sellers in the ecosystem and increased the number of technical partner sellers by more than 35 percent, according to IBM.

The company’s accurate program changes have led to improved deal registration and introduced to partners more than 7,000 potential deals valued at more than $500 million globally, according to IBM. Those numbers are based on IBM sales data from January 2022 to August.

Along with the expanded access to training and enablement resources, Woolley told CRN US that another example of aligning the IBM sales force and partners was a single sales kickoff event for employees and partners. A year ago, two separate events were held.

“I want our partners to continue to feel and see this as a big investment in them and representative of how focused we are on the ecosystem and how invested we are,” she said.

This article originally appeared at crn.com

Wed, 05 Oct 2022 07:54:00 -0500 text/html https://www.crn.com.au/news/ibm-gives-partners-access-to-internal-sales-training-resources-586081
Killexams : IBM Assimilates Red Hat Storage Technology Into Own Storage Business

Storage News

Joseph F. Kovar

IBM, which three years ago acquired Red Hat, is now moving Red Hat OpenShift Data Foundation and Red Hat Ceph, along with their development teams, into IBM Storage as part of a move to make a bigger play in the software-defined and open-source storage worlds.

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IBM Tuesday said it has absorbed storage technology and teams from its Red Hat business to combine them with IBM’s own storage business unit as a way to help clients take advantage of the two without requiring extra integration or having to deal with multiple sales teams.

IBM is integrating Red Hat OpenShift Data Foundation with its IBM Spectrum Fusion and will offer Red Hat Ceph-based storage technologies to its clients in a move to continue Big Blue’s software-defined storage leadership, said Brent Compton, senior director of Data Foundation for Red Hat’s hybrid cloud business.

For IBM, which in mid-2019 acquired Red Hat in a $34-billion deal, the move ensures maximum support for Red Hat OpenShift Data Foundation and Ceph, Compton told CRN.

[Related: 2022 Storage 100: Who’s Got Your Backup?]

“OpenShift Data Foundation and Ceph will become a big part of IBM Storage,” he said. “IBM has been looking for a way to take advantage of Ceph and ODF, and now it can.”

Ceph is an open-source software-defined object storage technology with interfaces for object, block and file storage. Red Hat OpenShift Data Foundation is a software-defined container-native storage that provides cluster data management capabilities as part of the OpenShift container platform.

Scott Baker, chief marketing officer and vice president of IBM hybrid cloud portfolio and product marketing, told CRN the move to combine Red Hat and IBM storage technologies sets the stage for growth in the combined software-defined storage portfolio.

“Customers not only get a choice of where storage runs—at the edge, in the cloud, or on-prem—but will find storage software releases will no longer be tied to the timing of storage hardware releases,” Baker said. “For instance, IBM normally enhances its Spectrum Virtualize or Spectrum Scale with new versions of the IBM FlashSystem. But with software-defined storage, we can drive changes quicker if they’re not tied to hardware releases.”

By bringing Red Hat OpenShift Data Foundation and Ceph into IBM, customers get the opportunity to access unified block, file, and object storage without regard to the actual underlying hardware, Baker said.

“They can use Ceph to add the right type of storage depending on the protocol they need,” he said. “Ceph and ODF also simplifies how IBM provides data storage and protection. To do all that with IBM’s storage portfolio takes time. With CEF and ODF as part of IBM Storage, this can get done immediately.”

It really is the best of both worlds, as Red Hat customers will also see strong benefits from IBM Storage, Compton said.

“It’s important to note that IBM will continue to offer OpenShift Data Foundation inside the Red Hat OpenShift Platform Plus hybrid cloud platform,” he said. “So if a customer gets pre-integrated OpenShift Data Foundation inside Red Hat OpenShift Platform Plus, it accelerates their time to market. There’s no need to integrate the storage. This will not change.”

Also, Red Hat OpenShift customers have used Ceph to accelerate their time to scale for years, and Red Hat will continue to sell Ceph, Compton said.

“But by moving Ceph to IBM Storage, IBM will accelerate development of the storage-specific features,” he said. “Red Hat is not a storage company. So this will accelerate development of unified capabilities.”

IBM’s storage move makes good on the potential many saw with the company’s acquisition of Red Hat, said John Teltsch, chief revenue officer at Converge Technology Solutions, a Gatineau, Quebec-based solution provider and channel partner to both IBM and Red Hat that ranked No. 36 on CRN’s 2022 Solution Provider 500.

“This is something the channel has been waiting for ever since IBM acquired Red Hat,” Teltsch told CRN. “IBM has been doing a lot around software-defined storage. And when you add in Red Hat, it gives us an integrated solutions play. It lets us build an integrated sales team. We don’t have to first talk about IBM storage capabilities, and then bring in our Red Hat team to talk about Red Hat.”

Converge Technology Partners’ IBM and Red Hat sales teams are currently two separate teams, said Teltsch, who joined the company in March from IBM, where he held numerous sales leadership roles, including two years as Big Blue’s channel chief.

“Once IBM and Red Hat storage are together, it gets more simple to sell,” he said. “And it simplifies our training while IBM will have one integrated set of offerings for its clients. This lets us bring the best of Red Hat open-source capabilities with IBM storage. We’re living in a data-driven world. This move simplifies our go-to-market, as well as simplifies the client experience, client engagement, and client adoption.”

Joseph F. Kovar

Joseph F. Kovar is a senior editor and reporter for the storage and the non-tech-focused channel beats for CRN. He keeps readers abreast of the latest issues related to such areas as data life-cycle, business continuity and disaster recovery, and data centers, along with related services and software, while highlighting some of the key trends that impact the IT channel overall. He can be reached at jkovar@thechannelcompany.com.

Tue, 04 Oct 2022 23:00:00 -0500 en text/html https://www.crn.com/news/storage/ibm-assimilates-red-hat-storage-technology-into-own-storage-business
Killexams : ForgeRock, Ping, IBM, Okta Top KuppingerCole CIAM Tech Eval

Customer Identity & Access Management (CIAM) , Security Operations

Consumerization of IT Has Brought CIAM Methods, Technologies to Workforce IAM Space
ForgeRock, Ping, IBM, Okta Top KuppingerCole CIAM Tech Eval

Perennial leaders ForgeRock, Ping Identity and IBM, along with a surging Okta, set themselves apart from the pack of CIAM vendors in the latest report by KuppingerCole analysts.

See Also: Building a Secure IoT Deployment Using 5G Wireless WAN

Ping Identity leapfrogged ForgeRock to capture the gold in product leadership, and IBM once again took the bronze. ForgeRock, Ping Identity and IBM maintained the gold, silver and bronze, respectively, in innovation leadership. And in the market leadership category, Microsoft again took gold, Auth0 catapulted from seventh to second place in market leadership due to becoming part of Okta, and SAP fell from second to third since the last report in late 2020, KuppingerCole found.

"The trend toward digitalization of consumer experiences was well underway in the late 2010s, and the COVID pandemic forced more businesses and other organizations to expedite digital transformation," John Tolbert wrote in the 120-page report. "With every iteration of this report, we observe significant acquisitions of CIAM certified by others in the market, and entry into the market of new vendors."

Microsoft, Okta and IBM were the three market share leaders in the broader $13.6 billion identity and access management category last year, while Ping Identity and ForgeRock captured ninth and 10th place, according to IDC. Thoma Bravo has acquired SailPoint and plans to buy Ping and ForgeRock. Should the three companies be combined, it would take the bronze in market share, narrowly edging out IBM.

"Innovation in CIAM drives the wider IAM market," Tolbert wrote. "The 'consumerization of IT' is exemplified by the push to use CIAM methods and technologies for registration, authentication, and authorization in workforce IAM. Features that were considered innovative in the previous edition of this report are going mainstream."

Outside of the top four, here's how KuppingerCole sees the CIAM market:

  • Leader: SAP, LoginRadius, Microsoft, Transmit Security, OneWelcome, WSO2;
  • Challenger: Cisaas, Cloudentity, Optimal IDM, 1Kosmos, Simeio, Synacor, CoffeeBean, Xayone, Nevis Security, NRI, ReachFive, Fusion Auth, DruID.

The latest rankings represent a drop for SAP and WSO2, which fell from third to fifth and eighth to 10th, respectively. Microsoft and OneWelcome leapt from ninth to seventh and 10th to ninth, respectively. LoginRadius held steady in sixth place, while Transmit Security - which raised $543 million last year - is new to the list.

"The CIAM market is growing and there is room for much further expansion, with many vendors offering mature solutions providing standard and deluxe features to support millions of users across every industrial sector," Tolbert wrote. "Some vendors have about every feature one could want in a CIAM product, while others are more specialized, and thus have different kinds of technical capabilities."

How the CIAM Leaders Climbed Their Way to the Top

Company Name Acquisition Amount Date
ForgeRock None N/A N/A
IBM Lighthouse Security Group Not Disclosed August 2014
Okta Auth0 $5.67B May 2021
Ping Identity UnboundID Not Disclosed August 2016

ForgeRock Looks to Thwart Account Takeover Fraud

ForgeRock in April refreshed the user interface around its authentication app to Excellerate the customer experience, add functionality for facial biometrics, and leverage capabilities from Apple and Android, according to CEO Fran Rosch. He says ForgeRock has sought smarter ways to identify legitimate users and give them access by leveraging AI to collect signals of typical user and device behavior.

Once ForgeRock has collected patterns around a typical positive user experience, the company develops a risk score to give customers more confidence about whether a legitimate user is attempting to log in. To prevent account takeover fraud, ForgeRock has factored in both known threats and threats projected via AI into its risk score and has incorporated more information about device behavior into its app (see: Thoma Bravo Identity Push Continues With $2.3B ForgeRock Buy).

"CIAM has got a strong security component, but also a strong usability component," Rosch tells Information Security Media Group. "And we've always worked to embed that capability of self-service and ease of use into the platform."

KuppingerCole criticized ForgeRock for implementation challenges around the on-premises version and a lack of native marketing analytics, marketplace integrations and certification around FIDO. Rosch says ForgeRock has focused on simplifying the deployment of its on-premises offering by crafting DevOps capabilities for implementation, simplifying upgrades and creating new configurable AI for the platform.

"Every company's got room to improve," Rosch says. "Generally, we would agree with those areas identified by KuppingerCole. We're continuing to work and to improve."

Ping Identity Embraces CIAM in the Cloud

Over the past five years, Ping Identity has migrated all of its core capabilities to the cloud, meaning customers don't have to deal with infrastructure, management or upgrades and can focus on the user experience, says Dustin Maxey, vice president of product and solutions marketing. Having everything available as a multi-tenant, SaaS-based offering means Ping can support customers' various deployment options, he says.

Maxey says Ping has defined and developed workflows for CIAM scenarios such as account registration and fraud detection that incorporate both native and third-party capabilities and are easy for customers to use. Over the past year, Ping has made real progress on decentralized identity and combining multiple fraud signals in one place so that risk and fraud can be assessed at the point of authentication, he says (see: Ping Identity to Go Private in $2.8B Thoma Bravo Acquisition).

"A lot of competitors will have orchestration platforms, but Ping really differentiates in that we fully embrace this open mentality," Maxey tells ISMG. "If you want to use competitive services - if you want to use ForgeRock authentication or Okta authentication - we can plug that authentication service into our orchestration platform that we created."

KuppingerCole criticized Ping for its inability to collect device attributes, customization requiring for consent handling, and lack of simple connectors for BI, CRM, marketing analytics and automation. Maxey says Ping has focused on building the most important connectors first and wants to create deep integrations within its existing connectors before pivoting to construct new connectors.

"We are on a tear to build connectors that are deep, that are numerous and that are the ones that represent the services that our customers work with," Maxey says. "And we are moving very, very fast at that."

IBM Ensures Legacy Apps Don't Get Left Behind

IBM has actively participated in committees and bodies that manage protocol support to help clients better manage API and authentication requests in applications, says Wesley Gyure, director of product management for IBM Security. Offering support for both old and new protocols gives clients a seamless experience across apps in legacy infrastructure as well as modern web-based applications in the cloud.

Gyure says the company has integrated its CIAM offering with threat intelligence to get more visibility into everything from compromised passwords to potential malicious account takeover and the opening of fraudulent accounts. Identity threat detection and response starts with determining whether to block or challenge a registration request based on if the IP address is known and if the device could be malicious (see: IBM Buys Startup Databand.ai to Address Data Quality Issues).

"We have very large Fortune 500 clients that are using our systems, both legacy and off-prem," Gyure tells ISMG. "Auto manufacturers, retail, state and local government - they all have millions of users that are authenticating to our system, and they're doing so in a frictionless way and they're doing so with high throughput."

KuppingerCole chided IBM for complicated licensing, limited configurations for family management, and no built-in identity proofing or out-of-the-box consumer device management portals. The complexity stems from thousands of customers already using CIAM in large deployments, and Gyure says a pricing calculator for the latest tools should give clients visibility and transparency into how IBM licenses.

"We're not going to be the experts in every area," Gyure says. "Customers already have investments in solutions that they're using, and those investments have to integrate into whatever CIAM solution they may choose. This is not a rip-and-replace conversation. We want to make this easy and consumable, and to do that means to leverage capabilities and investments that they may already have."

Okta Scales Authentication to the Masses

Okta has made strides to enable app builders to better manage user authentication at scale by enabling developers to add another layer of access controls that's more fine-grained and consistent across apps, says Matt Duench, senior director of product marketing. The company's flow editor allows for no-code integration with firms such as Duo directly into the platform by leveraging a drag-and-drop interface.

Duench says the company has debuted a deployment option in Microsoft Azure so that customers in Europe and elsewhere can deploy in the environment that makes the most sense for them. Okta has strengthened its account takeover prevention capability through investments in Credential Guard and has reduced bot attacks by 79% by incorporating machine-learning upgrades in its bot detection engine (see: Okta-Auth0 Sales Integration Falters, Fueling Staff Turnover).

"We were born in the cloud, and so we're really well suited for companies that are focused on digital transformation and cloud migration versus more of an on-prem system," Duench tells ISMG. "And that's because a lot of the flexibility that now you get from a cloud-based system you can get within our platform as well."

KuppingerCole criticized Okta for a lack of built-in behavioral biometrics, FIDO certification, and ability to collect device intel via mobile SDK. Okta says there are regulatory, privacy and technology constraints around capturing device intel via mobile SDK in consumer applications and that the company chose to allow customers to integrate Okta's CIAM tool with the behavioral biometrics technology of their choice.

"You need a cloud-based platform that is extensible, that is unified and that is neutral so that you can really allow the application builder to build those use cases in the way and using the methodologies that they're traditionally used to," Duench says.

Thu, 13 Oct 2022 12:00:00 -0500 en text/html https://www.healthcareinfosecurity.com/forgerock-ping-ibm-okta-top-kuppingercole-ciam-tech-eval-a-20269 Killexams : New technique enables on-device training using less than a quarter of a megabyte of memory

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on "edge devices" that work independently from central computing resources.

Training a on an intelligent edge device allows it to adapt to new data and make better predictions. For instance, training a model on a smart keyboard could enable the keyboard to continually learn from the user's writing. However, the training process requires so much memory that it is typically done using powerful computers at a data center, before the model is deployed on a device. This is more costly and raises privacy issues since user data must be sent to a central server.

To address this problem, researchers at MIT and the MIT-IBM Watson AI Lab have developed a new technique that enables on-device training using less than a quarter of a megabyte of memory. Other training solutions designed for connected devices can use more than 500 megabytes of memory, greatly exceeding the 256-kilobyte capacity of most microcontrollers (there are 1,024 kilobytes in one ).

The and framework the researchers developed reduce the amount of computation required to train a model, which makes the process faster and more memory-efficient. Their technique can be used to train a machine-learning model on a microcontroller in a matter of minutes.

This technique also preserves privacy by keeping data on the device, which could be especially beneficial when data are sensitive, such as in medical applications. It also could enable customization of a model based on the needs of users. Moreover, the framework preserves or improves the accuracy of the model when compared to other training approaches.

"Our study enables IoT devices to not only perform inference but also continuously update the AI models to newly collected data, paving the way for lifelong on-device learning. The low resource utilization makes more accessible and can have a broader reach, especially for low-power edge devices," says Song Han, an associate professor in the Department of Electrical Engineering and Computer Science (EECS), a member of the MIT-IBM Watson AI Lab, and senior author of the paper describing this innovation.

Joining Han on the paper are co-lead authors and EECS Ph.D. students Ji Lin and Ligeng Zhu, as well as MIT postdocs Wei-Ming Chen and Wei-Chen Wang, and Chuang Gan, a principal research staff member at the MIT-IBM Watson AI Lab. The research will be presented at the Conference on Neural Information Processing Systems.

Han and his team had previously addressed the memory and computational bottlenecks that exist when trying to run machine-learning models on tiny edge devices, as part of their TinyML initiative.

Lightweight training

A common type of machine-learning model is known as a neural network. Loosely based on the human brain, these models contain layers of interconnected nodes, or neurons, that process data to complete a task, such as recognizing people in photos. The model must be trained first, which involves showing it millions of examples so it can learn the task. As it learns, the model increases or decreases the strength of the connections between neurons, which are known as weights.

The model may undergo hundreds of updates as it learns, and the intermediate activations must be stored during each round. In a , activation is the middle layer's intermediate results. Because there may be millions of weights and activations, training a model requires much more memory than running a pre-trained model, Han explains.

Han and his collaborators employed two algorithmic solutions to make the training process more efficient and less memory-intensive. The first, known as sparse update, uses an algorithm that identifies the most important weights to update at each round of training. The algorithm starts freezing the weights one at a time until it sees the accuracy dip to a set threshold, then it stops. The remaining weights are updated, while the activations corresponding to the frozen weights don't need to be stored in memory.

"Updating the whole model is very expensive because there are a lot of activations, so people tend to update only the last layer, but as you can imagine, this hurts the accuracy. For our method, we selectively update those important weights and make sure the accuracy is fully preserved," Han says.

Their second solution involves quantized training and simplifying the weights, which are typically 32 bits. An algorithm rounds the weights so they are only eight bits, through a process known as quantization, which cuts the amount of memory for both training and inference. Inference is the process of applying a model to a dataset and generating a prediction. Then the algorithm applies a technique called -aware scaling (QAS), which acts like a multiplier to adjust the ratio between weight and gradient, to avoid any drop in accuracy that may come from quantized training.

The researchers developed a system, called a tiny training engine, that can run these algorithmic innovations on a simple microcontroller that lacks an operating system. This system changes the order of steps in the training process so more work is completed in the compilation stage, before the model is deployed on the edge device.

"We push a lot of the computation, such as auto-differentiation and graph optimization, to compile time. We also aggressively prune the redundant operators to support sparse updates. Once at runtime, we have much less workload to do on the device," Han explains.

A successful speedup

Their optimization only required 157 kilobytes of memory to train a machine-learning model on a , whereas other techniques designed for lightweight training would still need between 300 and 600 megabytes.

They tested their framework by training a computer vision model to detect people in images. After only 10 minutes of training, it learned to complete the task successfully. Their method was able to train a model more than 20 times faster than other approaches.

Now that they have demonstrated the success of these techniques for computer vision models, the researchers want to apply them to language models and different types of data, such as time-series data. At the same time, they want to use what they've learned to shrink the size of larger models without sacrificing accuracy, which could help reduce the carbon footprint of training large-scale machine-learning models.



This story is republished courtesy of MIT News (web.mit.edu/newsoffice/), a popular site that covers news about MIT research, innovation and teaching.

Citation: New technique enables on-device training using less than a quarter of a megabyte of memory (2022, October 4) retrieved 17 October 2022 from https://techxplore.com/news/2022-10-technique-enables-on-device-quarter-megabyte.html

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Tue, 04 Oct 2022 06:59:00 -0500 en text/html https://techxplore.com/news/2022-10-technique-enables-on-device-quarter-megabyte.html
Killexams : IBM doubles down on partner ecosystem investment
Kate Woolley (IBM)

Kate Woolley (IBM)

Credit: Supplied

IBM is on a mission to double its revenue via its partner ecosystem in the next three to five years, making some significant updates to its PartnerWorld program along the way. 

As part of its efforts to re-position ecosystem partners at the center of the company’s go-to-market strategy, partners will now have access to the same badges and selling enablement materials as IBM sellers.

This is part of IBM’s ongoing commitment to growing its ecosystem.

“We will continue to make investments in the partner experience so that together, as a single team, we can achieve our goal of doubling revenue through the IBM ecosystem in the next 3–5 years,” said Kate Woolley, IBM’s ecosystem general manager.

The badges and additional materials are available through a new learning hub, designed to Excellerate the digital experience for partners.

“Users will notice a more modernised and consistent experience on the IBM training site, making it easier to find resources,” Woolley said.

All registered partners have access to these resources at the same time as IBM sellers, and at no cost.