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19 More Top Technology Predictions for 2017

19 More Top Technology Predictions for 2017 19 More Top Technology Predictions for 2017

The New Year promises to be a busy one in the areas of data management, data governance, artificial intelligence and machine learning. Here are trends you can expect to see, say industry experts.

Self-service Extends to Data Prep Self-service Extends to Data Prep

“While self-service data discovery has become the standard, data prep has remained in the realm of IT and data experts. This will change in 2017. Common data-prep tasks like data parsing, JSON and HTML imports, and data wrangling will no longer be delegated to specialists. With new innovations in this transforming space, everyone will be able to tackle these tasks as part of their analytics flow.” -Francois Ajenstat, chief product officer at Tableau

The Data Lake Will Find Purpose The Data Lake Will Find Purpose

“Companies have been collecting data for a while, so the data lake is well-stocked with fish. But the people who needed data most couldn’t generally find the right fish. I support the notion of a data lake, dumping all your raw data into one data warehouse. But it doesn’t work if you don’t have a way to make it cohesive when you query it. There have been great innovations by companies like Segment, Fivetran and Stitch, which make moving data into the lake easier. Modeling data is the final step that brings it all together and helps some of the best companies in the world see through data. Companies like Docker, Amazon Prime Now and BuzzFeed are using all their data to create comprehensive views of their customers and of their businesses. When these final two steps are added, the data lake can finally be a powerful way to get all your data into the hands of every decision-maker to make companies more successful.” -Lloyd Tabb, founder, chairman and chief technology officer at Looker

Smart Apps Will Aid In Innovation Smart Apps Will Aid In Innovation

‘“Smart apps” as a general term can be used to describe artificial intelligence-based bots, or APIs than can be leveraged by the broader enterprise business applications to inject agile innovation in to generally stable system of records. Sometimes these cloud based smart apps can also be used to extend the reach of existing business processes and application to new stake holders through modern UI that is accessible from anywhere.’ -Vishal Awasthi, chief technology officer, Dolphin Enterprise Solutions Corporation

IT Becomes the Data Hero IT Becomes the Data Hero

“It’s finally IT’s time to break the cycle and evolve from producer to enabler. IT is at the helm of the transformation to self-service analytics at scale. IT is providing the flexibility and agility the business needs to innovate all while balancing governance, data security, and compliance. And by empowering the organization to make data-driven decisions at the speed of business, IT will emerge as the data hero who helps shape the future of the business.” -Francois Ajenstat, chief product officer at Tableau

IoT Devices Become Favorite Hack Attack Targets IoT Devices Become Favorite Hack Attack Targets

“Mass hacking of IoT devices gets worse before vendors get their act together. IoT is the weakest link into the home, and thousands of consumers are going to find their accounts compromised and their bank accounts pilfered just because they thought it would be fun to automatically dim the lights in their bedroom.” -Phil Dunkelberger, chief executive officer at Nok Nok Labs

Big Data Becomes Fast and Approachable Big Data Becomes Fast and Approachable

“Sure, you can perform machine learning and conduct sentiment analysis on Hadoop, but the first question people often ask is: How fast is the interactive SQL? SQL, after all, is the conduit to business users who want to use Hadoop data for faster, more repeatable KPI dashboards as well as exploratory analysis. In 2017, options will expand to speed up Hadoop. This shift has already started, as evidenced by the adoption of faster databases like Exasol and MemSQL, Hadoop-based stores like Kudu, and technologies that enable faster queries.” -Dan Kogan, director of product marketing at Tableau

Email Security Gets Serious Attention Email Security Gets Serious Attention

“2017 is the year that SPF, DKIM, and DMARC will be table stakes for email communication. End-to-end encryption for email has been around for years, but a path to its widespread use is unclear to many. Companies rely on the information they get from their customers on their engagement, and people want versatility in their email management, that isn’t compatible with end-to-end encryption, such as searching their email streams. SPF, DKIM, and DMARC assure authenticity and integrity of the messages, and can be easily applied to any email strategy. Having a strong DMARC policy in place will prevent attackers from pretending to be who they aren’t. As more companies adopt DMARC, we will see a reduction in the risk of phishing attacks, a common vector for account compromise and data theft. While we may see an uptick in end-to-end encryption for national security reasons, we’ll see more widespread adoption of policies to ensure email authenticity.” -David Campbell, chief security officer at SendGrid

Big Data Helps Identify Fraud Big Data Helps Identify Fraud

“In the AP space, there is a growing increase in fraud. People are ‘taking advantage of’ digitization by knowing where the gaps are. With the increase in big data, you can have the intelligence and needed insight to detect fraud more clearly without letting it slip through the cracks.” -Werner Hopf, CEO and archiving principal, Dolphin Enterprise Solutions Corporation

Spark and Machine Learning Light Up Big Data Spark and Machine Learning Light Up Big Data

“In a survey of data architects, IT managers, and BI analysts, nearly 70 percent of the respondents favored Apache Spark over incumbent MapReduce, which is batch-oriented and doesn’t lend itself to interactive applications or real-time stream processing. These big-compute-on-big-data capabilities have elevated platforms featuring computation-intensive machine learning, AI, and graph algorithms. Microsoft Azure ML in particular has taken off thanks to its beginner-friendliness and easy integration with existing Microsoft platforms. Opening up ML to the masses will lead to the creation of more models and applications generating petabytes of data. In turn, all eyes will be on self-service software providers to see how they make this data approachable to the end user.” -Dan Kogan, director of product marketing at Tableau

IT Actively Partners With Business Users IT Actively Partners With Business Users

“Early adoption of software-as-a-service (SaaS) applications often poses a challenge to IT. Since cloud solutions are typically more closely aligned with business requirements and can be deployed without IT’s help, business users often adopt SaaS applications without IT’s knowledge; this is often referred to as ‘shadow IT’. This can result in security loopholes, licensing issues, and a proliferation of unsupported applications. But with cloud becoming a strategic priority for many enterprises, IT is now working in close partnership with business users and proactively vetting popular applications. As a result, SaaS apps can be fully integrated into the business. IT can connect apps to relevant data streams, meet security requirements, and scale solutions to the whole enterprise.” -Ashley Kramer, director of product management and head of cloud strategy at Tableau

Trump Administration Puts Emphasis on Cyber Security Trump Administration Puts Emphasis on Cyber Security

“The incoming Trump administration will put a strong emphasis on ‘The Cyber’. NIST will lead the charge pushing the elimination of passwords, and strong encryption standards for Government agencies and American businesses will become a legislative agenda item in Congress.” -Phil Dunkelberger, chief executive officer at Nok Nok Labs

Closing Data Privacy Loopholes Closing Data Privacy Loopholes

“There are existing [data privacy] policies in place and people are starting to move towards them, but the policies aren’t strongly enacted – there are still some existing loopholes. Due to recent events, I predict the move towards the policies will be much quicker. The question the CIO must ask is, ‘How do you meet local regulations, and still have a multi-national business model that works for your organization?’” -Werner Hopf, CEO and archiving principal, Dolphin Enterprise Solutions Corporation

Governance Becomes Easier for IT and the Business Governance Becomes Easier for IT and the Business

“Locally-installed software makes it hard for IT to balance visibility of deployed applications with flexibility for the end user. But hosted services are now enabling IT to retain control of applications without removing personal choice for end users. Cloud applications allow administrators to monitor usage and manage features at any time. This allows IT to maintain fine-grained control of things like authentication, data security, and user permissions but at the same time, business users still have the freedom to choose and customize their applications. And that’s important since autonomy plays a large role in employee satisfaction and productivity.” -Ashley Kramer, director of product management and head of cloud strategy at Tableau

Future of IoT Is Tied to Security Future of IoT Is Tied to Security

“The future of IoT will be focused on security. Recently, a major DDoS attack caused outages at major organizations. This is going to be a growing issue in the near future, and the concern at the forefront of IoT will be safeguarding networks and connected devices.” -Werner Hopf, CEO and archiving principal, Dolphin Enterprise Solutions Corporation

Data Mobility Raises Huge Security Concerns Data Mobility Raises Huge Security Concerns

“Next year, data mobility will become an even more massive issue for the enterprise than it already is. First, data in the cloud is prohibitively expensive to move to another cloud. Second, because global organizations’ data now resides in multiple clouds and on-premises locations, they increasingly face serious problems ensuring that data is readily accessible by applications and end-users. And, finally, with Brexit complicating already complex data sovereignty laws in Europe, the ability to move data quickly from one location to another will become even more pressing for global companies. Expect CIOs to place data mobility at the top of their must-have list in 2017.” -Varun Mehta, vice president of product operations at Nimble Storage

Containers Finally Get Their Due Containers Finally Get Their Due

“The hype around containers is nothing new, but it hasn’t yet translated into massive enterprise adoption. We can expect that to change in 2017. This coming year will mark the mainstreaming of containers in enterprise production environments. Solutions like Kubernetes and Apache Mesos are gaining traction, as they play a key role in making containers enterprise-ready. Their rise and the subsequent rapid adoption of containers will be a focal part of the IT market in 2017.” -Dave Kresse, vice president of products and alliances at Nimble Storage

Self-Management Rules With Data Storage Self-Management Rules With Data Storage

“The future of enterprise infrastructure is not speeds and feeds, but intelligence and self-management, and, in 2017, that differentiator will separate those storage companies that thrive from those that fade away. Predictive analytics and artificial intelligence enable companies to sharply reduce downtime and ensure optimal application performance, essentially switching from “firefighter mode” to a more proactive IT strategy. Next year, it will become painfully obvious which industry players are holding on to the “speeds and feeds” model, because they will be the ones falling behind.” -Rod Bagg, vice president of analytics and customer support at Nimble Storage

Products Become More Robust, But At What Cost? Products Become More Robust, But At What Cost?

“Companies will roll out products with internet connectivity that provide status information, feedback and more. The question is, how can all of that information be used to make products or services more affordable, efficient or improve customer experience?” -Werner Hopf, CEO and archiving principal, Dolphin Enterprise Solutions Corporation

Good Data Management Key to AI Success Good Data Management Key to AI Success

“We will continue to see new use-cases of such specialized artificial intelligence across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation. Since the efficiency of machine learning is based on constant improvement through better and wider training data, this would only add to the already expanding size of the data enterprise needs to manage. Good data management policies would be key to achieving a scalable and sustainable AI vision. For the business users this would mean better access to actionable intelligence, and elimination of routine tasks that can be delegated to the bots. For users who want to stay relevant in the new economy, this would allow them transform their roles in to knowledge workers that focus on tasks that can still only be done based on the general intelligence. Business users that can train the AI models would also be very hot commodity in the economy of future.” -Vishal Awasthi, chief technology officer, Dolphin Enterprise Solutions Corporation

The New Year promises to be a busy one in the areas of data management, data governance, artificial intelligence and machine learning. Here are trends you can expect to see, say industry experts.

 

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