Evaluate

Big data machine learning and AI

• Third-party cloud services for ETL and application testing

  Don't default to your cloud provider's ETL and app testing services. Get to know third-party offerings and explore the advantages of using these tools in your cloud environments. Continue Reading

• The future of quantum computing in the cloud

  Quantum computing is the latest technology to catch the eyes of developers and cloud providers like AWS and Microsoft, but analysts predict it could still be years away from practical use. Continue Reading

• 7 Google Cloud database options to free up your IT team

  Moving data to a cloud database is an effective way to optimize cost and performance for applications. Review seven of Google's database services and decide if one is right for you. Continue Reading

• 6 Amazon SageMaker capabilities developers should know about

  Developers and data scientists should familiarize themselves with these six SageMaker tools meant to simplify the machine learning process. Discover what they offer to your models. Continue Reading

• 5 cloud database comparison tips to guide your data strategy

  Catch up on these tips that compare the strengths, weakness and available integrations of popular public cloud database and analytics services from AWS, Microsoft and Google. Continue Reading

• AI-driven development trends shake up the cloud market

  Enterprises are increasingly interested in AI, and cloud vendors are in a race to adapt their platforms to meet those needs. See what initiatives are underway to meet the next wave of app development.Continue Reading

• A comparison of 6 speech-to-text services

  AWS, Microsoft and Google can add speech-to-text capabilities to apps, but they're not your only option. Compare those cloud-based tools to other AI-infused transcription services.Continue Reading

• Public cloud services grow HPC market, but work remains

  HPC applications need a lot of resources, but not all enterprises can meet those requirements. However, new cloud services are emerging to address that gap in the market.Continue Reading

• Compare Google Cloud Firestore and Firebase Realtime Database

  Managed NoSQL databases are increasingly popular for app development. Compare two such options from Google -- Realtime Database and Cloud Firestore -- to see if they meet your needs.Continue Reading

• Break down 11 Google big data services

  Navigating the range of big data services on Google Cloud Platform can be a challenge. Here is a list that breaks down what Google offers in the realm of big data analytics.Continue Reading

• Understand AI and machine learning security impacts on cloud apps

  Cloud-based machine learning can alleviate and aggravate security concerns. Review analysis and advice from our experts to stay on top of this emerging aspect of IT.Continue Reading

• Cloud-based quantum computing inches slowly toward enterprise

  A lot of questions -- and complexity -- still surround quantum computing. But as enterprises eventually ramp up with the technology, most will do so through cloud-based services.Continue Reading

• A quick quiz on machine learning services in public cloud

  From customized hardware to APIs, public cloud providers now tout a wide range of machine learning and AI technologies. How well have you kept up with this rapidly evolving market?Continue Reading

• AI and machine learning take on cloud security woes

  AI-infused technologies continue to target almost all aspects of cloud monitoring and management, including security. But don't assume they're a silver bullet.Continue Reading

• Machine learning tools ease cloud security, log management

  Machine learning has increasingly found a home in enterprise cloud management teams, but the technology is still far from being a magic fix for complex tasks, such as multi-cloud cost optimization.Continue Reading

• Machine learning services in cloud aim for AI accessibility

  Machine learning is a complex technology that requires data science skills. Cloud providers have tried to change that and make AI more accessible. But are those efforts working?Continue Reading

• Nvidia GPU Cloud marries data science and containers

  With its GPU Cloud, Nvidia offers a way to deploy data science workloads that span on-premises systems and the public cloud -- with containers playing a big role.Continue Reading

• Evaluate Google Cloud TPUs for machine learning apps

  Machine learning apps have prompted a paradigm shift in the world of public cloud. Google is an early market leader with its TPUs and TensorFlow, but can it stay on top?Continue Reading

• Azure Machine Learning services ease data science struggles

  With Azure machine learning services, such as Workbench, Experimentation and Model Management, Microsoft hopes to address common data science challenges in the enterprise.Continue Reading

• Review chatbot development options in public cloud

  As users look to interact with applications via more natural language and text, chatbots become increasingly popular. And many developers turn to the public cloud to create them.Continue Reading

• Compare machine vs. deep learning services in the cloud

  Machine learning and deep learning increasingly make their way into the enterprise. Assess which AI technology is right for you, and the public cloud services that support them.Continue Reading

• Explore the benefits, tradeoffs of GPU instances in cloud

  While GPU instances can give compute-intensive apps the processing boost they need, not all workloads -- or budgets -- will benefit from these cloud instance types.Continue Reading

• A machine learning and AI guide for enterprises in the cloud

  AI and machine learning could drive the next wave of cloud adoption. But businesses need to know their provider options and evolve their skills to succeed with these technologies.Continue Reading

• Navigate your options for public cloud database services

  Your choice of a cloud database, data warehouse or data lake depends on the structure of your data and your analysis needs. Follow these guidelines to know which to choose.Continue Reading

• Cloud AI services slowly but surely lure enterprise IT shops

  As IT pros experiment with AI, many will do so on the public cloud. But choosing from an ever-growing list of AI services, from AWS, Azure and others, is no easy task.Continue Reading

• Cloud machine learning still an answer in search of a question

  Cloud machine learning is still a talking point in IT circles as vendors try to make it more palatable to mainstream enterprises.Continue Reading

• Which workloads benefit from GPU instances in the public cloud?

  GPU instances help enterprises run more compute-intensive workloads on the public cloud. But what kinds of apps, specifically, are a good fit for these instance types?Continue Reading

• Test your knowledge of big data cloud services

  Big data in the cloud is a big deal. But without the right management and analytic tools, you won't get far. Test your knowledge of big data tools in the cloud with this quiz.Continue Reading

• It's time for developers to become experts in artificial intelligence

  If you're an applications developer, You must add AI, cognitive computing, machine learning, and analytics expertise to your skills portfolio.Continue Reading

• Words to go: Microsoft Azure big data services

  As Microsoft grows its Azure big data portfolio, it can be tough for users to keep up. Here's a breakdown of must-know Azure terms for organizations taking the big data leap.Continue Reading

• Public cloud vendors need hybrid model to win enterprise love

  With continued enterprise adoption of hybrid cloud and containers, some cloud providers need to change their tune.Continue Reading

• Compare AWS vs. Azure vs. Google big data services

  Big data services are an attractive cloud lure for enterprises. AWS, Azure and Google are fighting for number one, but who will come out on top?Continue Reading

• HPC in the cloud role intensifies as compute demands grow

  As more big data and IoT applications find their way into the enterprise, high-performance computing in the cloud will become more mainstream.Continue Reading

• MapReduce vs. Spark: Which should I choose for big data in the cloud?

  MapReduce and Spark are two common options for processing big data in the cloud. But what are the key differences between the two?Continue Reading

• Cloud and big data strategies that won't make IT shudder

  For many IT organizations, big data seems too big to tackle. But there are several ways an enterprise can ease into big data, and cloud computing can help.Continue Reading

• When should I use Azure SQL Data Warehouse?

  Amazon Redshift is the market leader in cloud data warehousing services. But what does Azure SQL Data Warehouse bring to the table?Continue Reading

• Is Spark the answer for cloud and big data apps?

  Spark is gaining corporate sponsorship at an astounding rate. If big data, cloud data and business data are to meet somewhere, Spark is likely that place.Continue Reading

• Find your cloud computing and big data recipe for success

  Supporting big data and high-performance computing in the cloud introduces a number of challenges. Fortunately, larger VM instances and GPUs offer relief.Continue Reading

• Would Azure Data Factory benefit my cloud data?

  Azure Data Factory helps move large volumes of data between the cloud and on-premises environments. But how else could it impact my big data strategy?Continue Reading

• Pick the right tools for cloud and big data

  The cloud and big data are infiltrating company practices, and in some cases, they're doing it together. The intersection of the two brings many challenges and opportunities for companies that choose to process and store big data in the cloud. Once ...Continue Reading

• Big data tools a must for developers

  To find the right frameworks and big data tools, big data developers need to consider the full scope of their big data efforts.Continue Reading

• How to compare platforms for enabling big data in the cloud

  When you're ready for the move, evaluate big data in the cloud providers carefully to ensure the best fit. Here is a look at four cloud service offerings.Continue Reading

• Should I move my cloud computing application in-house?

  Despite its many benefits, cloud isn't a good fit for all applications. So how do I know if it's time to move my cloud app back on-premises?Continue Reading

• Cloud and big data don't necessarily mean Hadoop

  The cloud and big data don't always mean Hadoop. Careful study is required before choosing the right technology, says consultant Tom Nolle.Continue Reading

• Azure vs. Google: Finding your cloud vendor fit

  Amazon Web Services is the clear cloud market leader, but Microsoft Azure and Google have their advantages. Which cloud provider is right for you?Continue Reading

• Cloud storage options: Object storage systems or Hadoop?

  Object storage systems and Hadoop are both viable cloud storage options. But consider the latter when performing big data analysis in the cloud.Continue Reading

• Which cloud storage system matches your data?

  Choosing a cloud storage system can be a daunting task. Expert Dan Sullivan explores the benefits of SSDs, databases and other cloud storage options.Continue Reading

• Does Hadoop in the cloud give big data a boost?

  Hadoop is an option for handling the vast and diverse data sets that come with big data. But how exactly can it be used in an organization?Continue Reading

• Which cloud model is best for your big data project?

  Cloud computing comes in three distinct flavors: public, private and hybrid. But which is best for my big data project?Continue Reading

• Should cloud and big data go hand-in-hand?

  Cloud and big data are major focuses for many businesses right now. But how are the two technologies related? Does your big data project require cloud?Continue Reading

• Winning a cloud business case debate

  The strongest cloud business case used to be reducing capital costs. Today, business cases should highlight other cloud perks, such as process automation.Continue Reading

• Cloud computing technology trends in 2015

  As the IT world looks ahead to 2015, which new technologies will take off? Our cloud experts predict the top cloud technology in the New Year.Continue Reading

• Bare-metal cloud means more flexibility at a cost

  Businesses face the challenge of finding the right cloud for their needs. With the ability to customize software for unique app requirements, bare-metal cloud may be the best option.Continue Reading

• Apache Sqoop a crucial link for big data analytics in the cloud

  Hadoop is becoming the popular enterprise choice for big data analytics, but getting your data there isn't so simple. Apache Sqoop is stepping in to help bring the vital data from your database to Hadoop.Continue Reading

• How does Amazon S3 stand out from other cloud storage services?

  Amazon S3 gets a lot of hype as a cloud storage system, but sometimes it could be overkill. Simpler cloud storage products could get the job done.Continue Reading

• Amazon Kinesis benefits and alternatives

  Amazon made waves with the release of Kinesis, but companies should know its ups and downs before blindly adopting AWS's service.Continue Reading

• IBM's Watson supercomputer gives developers access to cognitive cloud

  IBM makes the Watson supercomputer available to developers and brings the cognitive cloud to Internet applications.Continue Reading

• IBM SoftLayer vital to Big Blue's software, hardware success

  SoftLayer holds the key to IBM's enterprise hardware and software success -- as long as its competitive strategies work against AWS, Google and Azure.Continue Reading

• The state of the enterprise cloud and prepping for AWS re:Invent 2013

  Enterprise cloud has seen plenty of movement since AWS re:Invent 2012, while many of the recurring security concerns continue to plague enterprises.Continue Reading

• Analytics as a Service aims to solve big data's big problems

  While many businesses see the benefit of running big data in public clouds, others look to nix infrastructure altogether for their analytics projects.Continue Reading

• HPC systems: Out of the lab and into the enterprise

  HPC was once sequestered in research labs, but enterprise IT is beginning to see its value for addressing some of the toughest business challenges.Continue Reading

• Big data analytics, CloudStack top hot cloud computing trends in 2013

  As cloud vendors look to entice enterprise IT, 2013's cloud computing trends center on BYOD policy, big data analytics and debates around standards.Continue Reading

• To cloud skeptics: Don't diss Dropbox

  While many IT departments may try to put a stop to Dropbox because of its cloud storage roots, it still provides useful file-transfer services.Continue Reading

• Was Citrix's acquisition of Cloud.com a defensive move?

  There's a lot of speculation in the cloud market about why Citrix purchased Cloud.com this week, including talk of Citrix trying to edge out VMware.Continue Reading