100 Most Promising Big Data Solution Providers 2017
“Data generation and utilization continues to grow by leaps and bounds and with it the investments in big data analytics solutions and services”
In present times, companies worldwide are starting to espouse newfangled big data technologies whereby they can establish viable partnerships, delve into new markets, and transform their businesses into a data-driven brand. This scenario is further getting augmented with the big data’s growing prominence in the development of artificial intelligence (AI) and deep learning applications. For the coming times, the increasing adoption of AI and machine learning alongside the spawning of IoT applications is going to be the key to success for data-driven enterprises.
The big data industry is growing larger and larger each day with the amount of information being collected and the potential insights it can deliver steadily growing. As the year comes to an end, CIO Review once again published their annual “100 Most Promising Big Data Solution Providers” list. In it, some of the biggest big data names of the year, including new companies that have delivered on new AI and deep learning applications that are made for big data solutions. It is clear that companies worldwide are jumping onto new innovations to provide the biggest value for their solution. A few notable listings include.
- Cloudera
- Hortonworks
- MapR Technologies
- Tableau Software
- SAS institute
Big data in the UK Police Force
“Advanced uses of analytics to improve policing”
Among the numerous ways in which big data technology could be applied to UK policing, four are identified as key priorities by the report.
- Predictive crime mapping: this ‘could be used to identify areas where crime is most likely to occur, allowing limited resources to be targeted most efficiently.
- Predictive analytics: this ‘could also be used to identify the risks associated with particular individuals. This includes identifying individuals who are at increased risk of reoffending, as well as those at risk of going missing or becoming the victims of crime.’
- Advanced analytics: this ‘could enable the police to harness the full potential of data collected through visual surveillance, such as CCTV images and automatic number plate recognition (ANPR) data.
- Big data technology: this ‘could be applied to open-source data, such as that collected from social media, to gain a richer understanding of specific crime problems, which would ultimately inform the development of preventive policing strategies.
With new big data applications coming out everything, a common trend amongst consumers is the worry of what data should is being collected and how it is being utilized. Although the police force is seeing positive results from the use of big data analytics, it will be interesting to see the citizens’ response to the police force’s ability. However, as stated in the article, with the low number of officers available to the public, policing needs any technological help it can receive.
Big Data Needs Bigger Security
“The big data age has come, now we need security to back it up”
Last week, Equifax lost highly confidential personal and financial data on as many as 143 million people. The worst part? You didn’t even give them permission to obtain this information. They can legally collect, store and share it regardless.
Nearly two months after the breach, they are “letting consumers know” if they have been affected. You could supposedly go online to determine if your data was compromised, but that has already been exposed as a self-serving, non-functioning trick mostly aimed at providing “help” of only temporarily free services – profiteering from this breach in full view of all. Choosing paltry offers of either one year of free credit tracking or a one-time credit freeze, you had to also initially agree not to pursue legal action against them to obtain these fixes. What genuine contrition and offer of help does that constitute?
Big companies made “big data” happen. Now, “big security” must follow, despite the costs. Regulators and legislators need to remind them through coordinated actions that they can spend it now to protect us all in advance or pay it later in big fines when they don’t. But either way, they are going to pay. Otherwise, the only ones paying will be consumers.
With the ethical implications already being questioned regarding collected data without permission or knowledge of the consumer, the leaking of the unknown information is the cherry on top. As cyberattacks increase in potential threat and size everyday, corporations are in need now more than ever of the highest grades of cybersecurity. Consumers are becoming more weary of data protection, and it will be interesting to see how Equifax and other corporations will address their current implementations of security of data after this incident.
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