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How should organizations prepare for cloud computing technologies in 2018? Check out six different routes in this week’s roundup.
1. Cloud computing technology for 2018: Transform or die – Joel Shore (SearchCloudApplications)
Oracle roadshow keynoters count six alternative routes to adopting cloud computing technology, and they note that the best implementations demand a deep understanding of the customer.
2. Kronos Workforce Dimensions stirs HR tech world – Shaun Sutner (SearchHRSoftware)
Workforce management leader Kronos intended to reshape itself in a turbulent HR tech world, say executives behind the vendor’s new mobile-first SaaS system, Workforce Dimensions.
3. Kaspersky sheds more light on Equation Group malware detection – Rob Wright (SearchSecurity)
A lengthy Kaspersky report offers more insight into how the antivirus company discovered Equation Group malware and came to possess classified U.S. government data.
4. Procurement transformation a main focus at CPO Rising Summit – Jim O’Donnell (SearchERP)
At the CPO Rising Summit, procurement experts discussed how procurement and supply chain will involve technologies like blockchain and AI, but some are skeptical this will happen soon.
5. DevOps transformation in large companies calls for IT staff remix – Beth Pariseau (SearchITOperations)
Large enterprises, such as Kaiser Permanente, base their moves toward DevOps practices on organizational changes that force a shift in IT team mindset.
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How do you feel about Equifax CEO Barros not knowing whether customer data is encrypted or not? Check out his testimony in this week’s roundup.
1. Following Equifax breach, CEO doesn’t know if data is encrypted – Madelyn Bacon (SearchSecurity)
News roundup: Following the massive Equifax breach, the CEO said he doesn’t know if customer data is encrypted or not. Plus, flaws were found in IEEE’s P1735 standard, and more.
2. AI’s role in future of DevOps provokes IT industry agita – Beth Pariseau (SearchITOperations)
AIOps has become a white-hot IT buzzword, but whether smart machines can replace, rather than augment, human intelligence is a much thornier question.
3. Microsoft boosts SQL Server machine learning services – Jack Vaughan (SearchSQLServer)
Python and R are among the tools in the SQL Server machine learning toolkit. Native T-SQL scoring is also on the agenda, as uncovered at PASS Summit 2017.
4. Cloud security tools reflect disparate vendor perspectives – Trevor Jones (SearchCloudComputing)
The latest cloud security tools exemplify the major providers’ varied approaches to address user concerns, and protect customers from themselves.
5. IBM Cloud Private pulls from Big Blue’s roots – Darryl K. Taft (SearchCloudApplications)
IBM sticks close to its roots with IBM Cloud Private, which taps Big Blue’s enterprise and middleware strengths to move customers from the data center to private cloud.
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What odds do you give Violin Systems of long-term survival? Learn why the CEO thinks that profits are on the way in this week’s roundup.
1. Violin Systems CEO Abbasi says profits coming in 2018 – Dave Raffo (SearchStorage)
All-flash pioneer Violin emerges from bankruptcy; 2018 plans call for profits, acquisition, NVMe deployments and software-defined scalability.
2. Bad Rabbit ransomware data recovery may be possible – Michael Heller (SearchSecurity)
Security researchers found a way to recover data locked by the Bad Rabbit ransomware without paying, and others said money might not have been the driver of the attacks.
3. ScaleArc brings database load balancing to Azure SQL DB – Jan Stafford (SearchCloudApplications)
This product update explores a new database load-balancing software release, ScaleArc for SQL Server, which is integrated with Microsoft’s Azure SQL Database.
4. Machine learning’s training data is a security vulnerability – Nicole Laskowski (SearchCIO)
Microsoft’s Danah Boyd has a sobering message for CIOs: The data used to train machine learning algorithms is at risk.
5. GDPR requirements put end-user data in the spotlight – Alyssa Provazza (SearchEnterpriseDesktop)
End-user computing technologies can help IT with General Data Protection Regulation compliance, but they aren’t up to snuff when it comes to inventorying data.
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How will explainable AI change the way your company uses artificial intelligence? Find out how two companies are delivering on this idea in this week’s roundup.
1. Companies want explainable AI, vendors respond – Nicole Laskowski (SearchCIO)
Dispatch from the Strata Data Conference: The push for explainable AI is on, and companies like H2O.ai and Microsoft are looking to deliver.
2. Agility, comradery drive CA Technologies’ strategy turnaround – Ed Scannell (SearchDataCenter)
With its own digital transformation underway, CA Technologies wants to lead legacy mainframe software users into the world of cloud computing and agile development.
3. DHS’ Dragonfly ICS campaign alert isn’t enough, experts say – Michael Heller (SearchSecurity)
The Department of Homeland Security released an alert confirming the Dragonfly ICS cyberattack campaign, but experts said more action is needed to protect critical infrastructure.
4. Channel firms benefit from Docker MTA strategy – Spencer Smith (SearchITChannel)
The Modernize Traditional Applications program, unveiled at DockerCon 2017, is seeing traction among customers interested in adopting container technology, Docker partners said.
5. Amazon, Microsoft crave more machine learning in the cloud – Trevor Jones (SearchCloudComputing)
Gluon, a new open source interface from Microsoft and Amazon, seeks to simplify machine learning in the cloud, as vendors court more of these workloads for their platforms.
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By James Kobielus (@jameskobielus)
Data science can function as a sustainable business resource only if it’s managed professionally. Regardless of how your enterprise chooses to organize its data science processes, you need professional management.
One approach for professionalizing your data scientists is to establish internal centers of excellence. To the extent that they come into being, centers of excellence will usually be the pet projects of one or more practicing data scientists who seek to bring great consistency and repeatability to their teams’ practices and procedures.
Of course, professionalism is a two-edged sword. Data scientists are often a proud, stubborn, and fiercely independent, a fact that might make them resistant to innovations in how you organize their work. To the extent that data scientists are given free rein to do what they wish and ad-hoc methods prevail, it may be difficult to establish structured, transparent practices within their teams.
As you introduce industrial-grade automation into your data science practice, excessive professionalism may cause sparks to fly. Data scientists may regard the new automation tools as an irritation, or an affront to their professional judgment, or eve (worst case) as an existential threat. The tensions are likely to grow as automation pushes deeply into the machine learning development pipeline, per my recent discussion here.
However, there’s no turning back to manual methods. Automating the data science development pipeline is the key to operating at enterprise scale. Data scientists will be swamped with unmanageable workloads if they don’t begin to offload many formerly manual tasks to automated tooling. Automation can also help control the cost of developing, scoring, validating, and deploying a growing scale and variety of models against ever expanding big-data collections.
To work in today’s business world, a data scientist must become more like an industrial engineer. In other words, their professional pride must shift toward a 24×7 regimen of building, training, deploying, productionizing, and managing a steady stream of data-driven models. If anything, they will need to master the new generation of data science development tools that:
- Automatically generate customized REST APIs and Docker images around machine-learning models during the promotion and deployment stages;
- Automatically deploy models for execution into private, public, or hybrid multi-cloud platforms;
- Automatically scale models’ runtime resource consumption up or down based on changing application requirements;
- Automatically retrain models using fresh data prior to redeploying them;
- Automatically keep track of which model version is currently deployed; and
- Automatically ensure that a sufficiently predictive model in always in live production status.
Clearly, these levels of automation will still require expert personnel to set up, monitor, and tweak the repeatable workflows they’re managing. In this new industrial order, the role of the working data scientist will become similar to a foreman in a factory that has implemented robotics and computerized numerical controllers.
If you’re data science, DevOps, or IT operations professional, you almost certainly have practical insights for automating data-driven business processes. I would love to hear your thoughts. Please join me on Wednesday, November 1, 2:00-3:00pm (eastern) for the Wikibon CrowdChat “Automating Data Analytics Management to the Max.” You can participate simply by clicking here, logging in with your Twitter handle, and posting your thoughts in an interactive, moderated Q&A format.
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What’s your biggest challenge working across multiple clouds? Find out how Cisco is dealing with multicloud environments in this week’s roundup.
1. Cisco cloud VP calls out trends in multicloud strategy – Trevor Jones (SearchCloudComputing)
With assets in house or on various public clouds, enterprise multicloud trends have shifted as new models emerge, said Cisco’s cloud czar.
2. KRACK WPA2 flaw might be more hype than risk – Michael Heller (SearchSecurity)
Researchers discover a WPA2 vulnerability and brand it KRACK, but some experts say the early reports overstate the risk of the flaw and downplay the difficulty of an exploit.
3. End-user security requires a shift in corporate culture – Eddie Lockhart (SearchEnterpriseDesktop)
It’s important for everyone in a company to take security seriously, including end users. A big part of that is training.
4. CIOs should lean on AI ‘giants’ for machine learning strategy – Nicole Laskowski (SearchCIO)
Components of AI, such as machine and deep learning, will be part and parcel of every enterprise. When devising a machine learning strategy, CIOs should think of it as the next wave of analytics.
5. Docker with Kubernetes forges new container standard – Beth Pariseau (SearchITOperations)
Docker’s support of Kubernetes alongside Swarm is a big shift for containers. IT pros see the benefits of this integration but question its effect on market competition.
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Innovation at Starbucks isn’t just about technology. Check out all the recent advancements by the company in this week’s roundup.
1. CTO Gerri Martin-Flickinger talks innovation at Starbucks – Brian Holak (SearchCIO)
Innovation at Starbucks is served up in many forms. EVP and CTO Gerri Martin-Flickinger breaks down the coffee giant’s latest technology investments.
2. Cybersecurity evolution brings shifts for network security – Eamon McCarthy Earls (SearchNetworking)
Bloggers explore cybersecurity evolution and its impact on network security, new network fabrics from Extreme and take a deep dive on routing protocols, such as BFD.
3. Cloud Foundry Container Runtime eases Kubernetes ops – Beth Pariseau (SearchITOperations)
Enterprises such as Bloomberg use Cloud Foundry’s integration with Kubernetes to ensure high availability for clusters of hosts and to support container orchestration.
4. SAP promotes blockchain services, suggests business use cases – Jim O’Donnell (SearchSAP)
Blockchain use cases for business are still limited, but SAP believes the new SAP Leonardo Blockchain Co-innovation program will help foster adoption.
5. Symphony collaboration takes on Teams, Slack team messaging – Antone Gonsalves (SearchUnifiedCommunications)
Symphony Communication Services says it’s ready to compete with Cisco, Microsoft and Slack. Experts point to security as a strength of the Symphony collaboration platform.
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Would Facebook Workplace be a fit for your customers’ collaboration needs? Learn why more channel partners are upping their investment in this week’s roundup.
1. Facebook partner program firms invest in Workplace – John Moore and Spencer Smith (SearchITChannel)
Channel partner companies are boosting their efforts to support Facebook Workplace, which is making headway among enterprise customers, such as Walmart.
2. Oracle cloud ERP migration pays off for Caesars – Tony Konter (SearchERP)
No role of the dice: Caesars Entertainment’s move from decades-old green screens to Oracle ERP Cloud could only succeed after meticulous project planning and change management.
3. DNS cyberinsurance research could improve security – Michael Heller (SearchSecurity)
A longitudinal cyberinsurance study performed by the Department of Homeland Security could improve enterprise security but the effects depend on the data collected, said experts.
4. Big data systems up ante on data quality measures for users – Craig Stedman (SearchDataManagement)
At the Strata conference in New York, IT managers detailed steps they’re taking to improve data quality in their big data environments in order to help ensure analytics accuracy.
5. Dell open networking gets more 25 GbE switches, SD-WAN appliances – Antone Gonsalves (SearchNetworking)
An expanded Dell open networking portfolio includes a high-performing switch for connecting data centers and a 25 GbE model with a new OS for managing network fabrics.
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Over the next few years, Microsoft will replace Skype for Business Online with its Teams collaboration service. Find out why the company made the move in this week’s roundup.
1. Microsoft Teams to replace Skype for Business Online – Antone Gonsalves (SearchUnifiedCommunications)
Over the next couple of years, Microsoft will gradually replace Skype for Business Online with Teams, which will become the communications client for Office 365.
2. Learn how to use Java development tooling at JavaOne 2017 – George Lawton (SearchCloudApplications)
Leading enterprise architects and developers will discuss a variety of improvements to Java development tooling, including container awareness, modularity and Java EE MicroProfile.
3. Twilio Studio brings low-code development to DevOps – Darryl Taft (SearchCloudApplications)
Twilio has introduced Twilio Studio, a new, low-code visual development environment that enables developers and business users to collaborate using DevOps practices to build apps.
4. Network lateral movement from an attacker’s perspective – Michael Heller (SearchSecurity)
A security researcher describes the network lateral movement process from an attacker’s perspective and a few key points of focus for IT pros, at DerbyCon.
5. Microsoft Dynamics 365 CRM takes center stage at Ignite 2017 – Jesse Scardina (SearchCRM)
Microsoft CEO Satya Nadella kicks off Microsoft Ignite with talk of future products, use cases for AI and continued bundling of Microsoft products.
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For close to one month, CCleaner malware was spread to users via an infected software update. Check out the total impact of the malware in this week’s roundup.
1. CCleaner malware spread via supply chain attack – Michael Heller (SearchSecurity)
CCleaner malware was spread to users via an infected software update for close to one month, highlighting the dangers of supply chain attacks and the need for code signing.
2. Sophos partner program targets cloud security providers – John Moore and Spencer Smith (SearchITChannel)
Security vendor Sophos has updated its channel program to support Cloud Security Providers, a new Sophos partner designation; other channel news from the week.
3. IBM mainframes plot course for container security market – Ed Scannell (SearchDataCenter)
Continuing efforts to make the mainframe technically fashionable, IBM offers a system promising rock-solid container security to compete against other container management tools.
4. Android adds zero-touch provisioning for corporate devices – Colin Steele (SearchMobileComputing)
New Android device enrollment capabilities let IT configure settings and EMM before deploying to users — but they have some manufacturer limitations.
5. Flash technology accelerates predictive analytics software – John Edwards (SearchStorage)
For organizations that must analyze large amounts of data quickly and efficiently, nothing beats solid-state storage. Predictive analytics applications perform better with flash.