Source: Finance Derivative
Michalis Michael, CEO of DMR
Unstructured data (UD) has never been more important than now, and its importance will skyrocket during this decade. It only takes a glance at the recent “State of Unstructured Data Management Report” to reveal how seriously UD is being taken, with 45 per cent of respondents intending to invest in UD analytics software as a matter of urgency.
The report also notes that most IT leaders – 62.5 per cent, in fact – will spend more on UD storage by the end of 2021 than they did in 2020.
These statistics tell us that the possession and understanding of UD is being recognised as increasingly essential. This is hardly surprising: over 90% of all data available to humanity is unstructured, and the business applications of this treasure trove of knowledge are enormous and untapped.
Of course, the potential insights that UD offers come with an important caveat. UD is formidable: it’s intimidatingly vast and exceptionally complex. IBM estimates that, on a global scale, we generate approximately 2.5 quintillion bytes of UD every single day.
Though UD might be a treasure trove, it’s treasure protected by a fiendishly complicated locking mechanism.
The scale and intricacy of UD and its potential for insight underscore the significance of the companies – the technologists and data scientists – who hold the key to unlocking its potential. In order to take advantage of UD, then, it’s important to understand both what UD is, and how the right specialists can use it to unveil powerful business insights and create value.
What is UD?
UD is mostly text, audio, images, and video. It is, perhaps, best understood in relation to its more accessible counterpart: structured data (SD).
SD is, in essence, organised data (numbers in tables): we’re used to seeing SD on spreadsheets, for example, or other highly managed environments. And due to its organised nature, SD holds some obvious advantages – it can be readily used, searched, understood, and actioned.
Moreover, as IBM has pointed out in a recent article, SD “does not require an in-depth understanding of different types of data and how they function”: “users”, they note, “can easily access and interpret the data.”
The same can’t be said for UD. UD is any data which is not organised in tables and spreadsheets and which, by extension, can’t be processed or manipulated via traditional data methods. There is an additional complexity though which is the most prohibitive of all: UD is expressed in natural language and there are hundreds of them that a global business would be required to analyse and understand. SD on the other hand is usually expressed in numbers which are almost universally understood.
According to IBM, 95% of businesses prioritise UD management – and it’s easy to see why, given the vast potential that such data possesses.
As the above implies, UD can include practically any form of data or information: tweets, call centre audio files, any kind of text, sensor data, and images all fall under the purview of UD, and they can solve myriads of business problems – provided that somebody can make sense of UD’s multilingual, tangled, disorganised complexity.
It’s worth repeating that the amount of UD the world creates on a daily basis would fill ten million Blu-ray disks which, if stacked, would be ats tall as four Eiffel Towers.
Consequently, UD requires a potent combination of sophisticated AI technology and specialism in the field of data science in order for its inherent value to be harnessed effectively, meaning that the enormous business value of UD is inexorably linked to the companies who make it work. Thankfully they exist; most are start-ups or early-stage companies.
Harnessing the power of UD (and its interpreters)
Why, then, do businesses invest in UD? What benefits can properly harnessed UD create?
In the world of marketing intelligence, UD is exceptionally valuable. By using AI to navigate through breath-taking volumes of customer interactions with brands, it is possible to find unprecedentedly nuanced and immediately actionable insights into customer experience – how customers think and feel about a company, service, brand or product – on a scale and level of nuance hitherto undreamt of.
UD can also provide insights that directly impact companies’ bottom lines, especially in the world of trading and investment. By trawling through large quantities of news articles and headlines in order to find information that may influence the fluctuation of stock prices, for example, UD analysis technology can have a direct impact on trading and investing. .
However, this kind of scenario also underscores the value of accurate insights. If UD analysis is poorly managed, inspiring wrongfooted financial decisions, then traders – to extend the previous example – stand to lose millions.
As such, while UD’s considerable advantages understandably attract a lot of interest from major businesses, it is only as powerful as the technology and people harvesting and annotating that data to turn it into actionable insight.
Consider, for example, the sentiment analysis so vital for marketing intelligence and CX measurement: in order to get the best results, human curators are essential in order to train bespoke AI to accurately detect emotion.
Or, to return to our trading example, the news headlines and articles that can provide valuable insight need to be presented free of ‘noise’. Customised machine learning models can help the “signal,” or the proverbial needle in the haystack, and avoid irrelevant data – without this kind of specialist approach, social media monitoring (for example) can wrongly identify huge swathes of UD as relevant, giving incorrect insights and therefore removing all the intelligence value of UD.
Conclusion: investing in the analysers
Clearly, there’s no mystery surrounding IT leaders’ ever-increasing investment in UD – knowledge, in marketing, alternative data, and countless other organisations, is power. But for investors looking to capitalise on the power and utility of UD, there is much to be gained from investing in those select organisations capable of performing the alchemical task of transforming meaningless data into essential insights.
The real value of UD rests in the hands of the technology and AI specialists who can wield it – and this is a cause well worth investing in.
‘Tis the Season to be Wary: How to Protect Your Business from Holiday Season Hacking
The holiday season will soon be in full swing, but cybercriminals aren’t known for their holiday spirit. While consumers have traditionally been the prime targets for cybercriminals during the holiday season – lost in a frenzy of last-minute online shopping and unrelenting ads – companies are increasingly falling victim to calculated cyber attacks.
Against this backdrop of relaxed vigilance and festive distractions, cybercriminals are set to deploy everything from ransomware to phishing scams, all designed to capitalise on the holiday haze. Businesses that fail to prioritise their cybersecurity could end up embracing not so much “tidings of comfort and joy” as unwanted data breaches and service outages well into 2024.
With the usual winter disruptions about to kick into overdrive, opportunistic hackers are aiming to exploit organisational turmoil this holiday season. Industry research consistently indicates a substantial spike in cyber attacks targeting businesses during holidays, particularly when coupled with the following factors:
- Employee Burnout: Employee burnout is rife around the holidays. Trying to complete major projects or hit targets before the end of the year can require long hours and intense workweeks. Overwrought schedules combined with the seasonal stressors of Christmas shopping, family politics, travel expenses, hosting duties etc., can lead to a less effective and exhausted workforce.
- Vacation Days: The holiday season is a popular time for employees to use up their vacation days and paid time off. This means offices are often emptier than usual during late December and early January. With fewer people working on-site, critical security tasks are neglected and gaps in security widen.
- Network Strain: The holidays also mark a period of network strain due to increased traffic and network requests. Staff shortages also reduce organisational response capacity if systems are compromised. The result is company networks that are understaffed and overwhelmed.
Seasonal Cyber Attacks
There are many ways bad actors look to exploit system vulnerabilities and human errors to breach defences this time of year. But rather than relying solely on sophisticated hacking techniques, most holiday-fueled cyber attacks succeed through tried and true threat vectors:
- Holiday-Themed Phishing and Smishing Campaigns: Emails and texts impersonating parcel carriers with tracking notifications contain fraudulent links, deploying malware or capturing account credentials once clicked by unwitting recipients trying to track deliveries. A momentary slip-up is all it takes to unleash malware payloads granting complete network access.
- Fake Charity Schemes: Malicious links masquerading as holiday philanthropy efforts compromise business accounts when donated to.
- Remote Access Exploits: External connectivity to internal networks comes with the territory of the season. However, poorly configured cloud apps and public Wi-Fi access points create openings for criminals to intercept company data from inadequately protected employee devices off-site.
- Ransomware Presents: Empty offices combined with delayed threat detection gives innovative extortion malware time to wrap itself around entire company systems and customer data before unveiling a not so jolly ransom note on Christmas morning.
Without proper precautions, the impact from misdirected clicks or downloads can quickly spiral across business servers over the holidays, leading to widespread data breaches and stolen customer credentials.
Essential Steps to Safeguard Systems
While eliminating all risks remains unlikely and tight budgets preclude launching entirely new security initiatives this holiday season, businesses can deter threats and address seasonal shortcomings through several key actions:
Prioritise Core Software Updates
Hardening network infrastructure is the first line of defence this holiday season. With many software products reaching end-of-life in December, it is critical to upgrade network architectures and prioritise core software updates to eliminate known vulnerabilities. Segmenting internal networks and proactively patching software can cut off preferred access routes for bad actors, confining potential breaches when hacking attacks surge.
Cultivate a Culture of Cybersecurity Awareness
Cybersecurity awareness training makes employees more resilient to rising social engineering campaigns and phishing links that increase during the holidays. Refreshing employees on spotting suspicious emails can thwart emerging hacking techniques. With more distractions and time out of the office this season, vigilance is more important than ever! Train your staff to “never” directly click a link from an email or text. Even if they are expecting a delivery they should still go directly to the known trusted source.
Manage Remote Access Proactively
Criminals aggressively pursue any vulnerabilities exposed during the holiday period to intercept financial and customer data while defences lie dormant. Therefore, businesses should properly configure cloud apps and remote networks before the holiday season hits. This will minimise pathways for data compromise when employees eventually disconnect devices from company systems over the holidays.
Mandate Multifactor Authentication (MFA)
Most successful attacks stem from compromised user credentials. By universally mandating MFA across all access points this season, retailers add critical layers of identity verification to secure systems. With MFA fatigue setting in over holidays, have backup verification methods ready to deter credential stuffing.
Prepare to Respond, Not Just Prevent
Despite precautions, holiday disasters can and do occur. Businesses need response plans for periods of disruption and reduced capacity. Have emergency communications prepared for customers and partners in case an attack disrupts operations. The time to prepare is before vacation schedules complicate incident response. It’s important to know how and when to bring in the right expertise if a crisis emerges.
By following best practices to prevent cybersecurity standards slipping before peak winter months, companies can enjoy the holidays without becoming victims of calculated cyber attacks. With swift and decisive action there is still time for businesses to prepare defences against holiday season hacks.
Transforming unified comms to future-proof your business
By Jonathan Wright, Director of Products and Operations at GCX
Telephony is not usually the first thing SMBs think about when it comes to their digital transformation. However, push and pull factors are bringing it up the priority list and leading them to rethink their approach.
Indeed, it is just one year until PSTN (the copper-based telephone network) will be switched off by BT Openreach. With a recent survey showing that as many as 88% of UK businesses rely on PSTN, many organisations’ hands are being forced to review their communications ahead of the deadline.
But even if this change for some is being forced upon them, the benefits of building a more future-proofed unified communications strategy far outweigh the associated challenges. Nearly three-quarters of employees in UK SMEs now work partly or fully remotely, indeed the highest percentage of any G7 country. Voice over Internet Protocol (VoIP) telephone systems are much better suited to distributed workforces as the phone line is assigned on a user basis, rather than to a fixed location.
And with more companies now integrating AI capabilities to augment their products and services – like Microsoft Teams Pro which leverages OpenAI for improved transcription, automated notes generation and recommended actions – the productivity-boosting benefits for users are only improving.
Making the right choice
For those companies that are seizing the opportunity to change their unified comms in 2024, what should they consider when making their decision?
- Choose platforms that will boost user adoption – User adoption will make or break the rollout of a new IT project. So due consideration should be given to what products or services will have the path of least resistance with employees. Choosing a service or graphical user interface (GUI) users are already used to, like Zoom or MS Teams, is likely to result in a higher adoption rate than a net new service.
- Embrace innovation with AI capabilities – While some of the services leveraging AI and Large Language Model (LLM) to enhance their capabilities are more expensive than traditional VoIP, the productivity gains could offer an attractive return on investment for many small businesses. Claiming back the time spent typing up meeting notes, or improving the response time to customer calls with automatically-generated actions, will both have tangible benefits to the business. That said, companies should consider what level of service makes sense to their business; they may not need the version with all the bells and whistles to make significant efficiency gains.
- Bring multiple services under a single platform – The proliferation of IT tools is becoming an increasing challenge in many businesses; it creates silos that hamper collaboration, leaves employees feeling overwhelmed by the sheer number of communications channels to manage, and leads to mounting costs on the business. Expanding the use of existing platforms, or retiring multiple solutions by bringing their features together in one new platform, benefits the business and user experience alike.
- Automate onboarding to reduce the burden on IT – Any changes to unified comms should aim to benefit all of the different stakeholders – and that includes the IT team tasked with implementing and managing it. Choosing platforms which support automated onboarding and activation, for example, will reduce the burden on IT when provisioning new tenants, as well as with the ongoing policy management. What’s more, it reduces the risk of human error when configuring the setup to improve the overall security. Or, in the case of Microsoft Teams, even negates the need for Microsoft PowerShell.
- Consider where you work – Employees are not only working between home and the office more. Since the pandemic, more people are embracing the digital nomad lifestyle, while others are embracing the opportunity to work more closely with clients on-site or at their offices. This should be considered in unified comms planning as those companies with employees working outside the UK will need to choose a geo-agnostic service.
- Stay secure – Don’t let security and data protection be an afterthought. Opt for platforms leveraging authentication protocols, strong encryption, and security measures to safeguard sensitive information and support compliance.
Making the right switch
As many small businesses start planning for changes in their telephony in 2024 as the PSTN switch-off approaches, it is important that take the time to explore how the particular requirements of their organisations and how the changes to their communications could better support their new working practices and boost productivity.
Will your network let down your AI strategy?
Rob Quickenden, CTO at Cisilion
As companies start to evaluate how they can use AI effectively, there is a clear need to ensure your network is up to the challenges of AI first. AI applications are going to require your data to be easily accessible and your network will need to be able to handle the huge compute needs of these new applications. It will also need to be secure enough at all points of access for the different applications to end users’ different devices. If your network isn’t reliable, readily available and secure it is likely going to fail.
In Cisco’s 2023 Networking Report 41% of networking professional across 2,500 global companies said that providing secure access to applications distributed across multiple cloud platforms is their key challenge, followed by gaining end-to-end visibility into network performance and security (37%).
So, what can you do to make your network AI ready?
First, you need to see AI as part of your digital transformation, then you need to look at where you need it and where you don’t. Jumping on the bandwagon and implementing AI for the sake of it isn’t the way forward. You need to have a clear strategy in place about where and how you are going to use AI. Setting up an AI taskforce to look at all aspects of your AI strategy is a good first step. They need to be able to identify how AI can help transform your business processes and free up time to focus on your core business. At the same time, they need to make sure your infrastructure can handle your AI needs.
Enterprise networks and IT landscapes are growing more intricate every day. The demand for seamless connectivity has skyrocketed as businesses expand their digital footprint and hybrid working continues. The rise of cloud services, the Internet of Things (IoT), and data-intensive applications have placed immense pressure on traditional network infrastructures and AI will only increase this burden. AI requires much higher levels of compute power too. The challenge lies in ensuring consistent performance, security, and reliability across a dispersed network environment.
Use hybrid and multi-cloud to de-silo operations
According to Gartner’s predictions, by 2025, 51% of IT spending will shift to the cloud. Underscoring the importance of having a robust and adaptable network infrastructure that can seamlessly integrate with cloud services. This is even more important with AI as it needs to access data from different locations and sources across your business to be successful. For example, AI often requires data from different sources to train models and make predictions. A company that wants to develop an AI system to predict customer churn may need to access data from multiple sources such as customer demographics, purchase history and social media activity.
IT teams need to make sure that they are using hybrid cloud and multi-cloud to de-silo operations to bring together network and security controls and visibility and allow for easy access to data. Where businesses use multiple cloud providers or have some data on-premise, they need to be reviewing how that data will be used and so how to access it across departments.
Install the best security and network monitoring
It’s clear that as we develop AI for good, there is also a darker side weaponizing AI to create more sophisticated cyber-attacks. Businesses need end-to-end visibility into their network performance and security and to be able to provide secure access to applications distributed across multiple cloud platforms. This means having effective monitoring tools in place and the right layers of security – not only at the end user level but also across your network at all access points.
Being able to review and test the performance of your SaaS based applications will also be key to the success of your AI solutions. AI requires apps to work harder and faster so tasting their speed, scalability and stability, and ensuring they are up to the job and can perform well under varying workloads is important.
Secure Access Service Edge
The best way to ensure your network security is as good as it can be is to simplify your tools and create consistency by using Secure Access Service Edge (SASE). This is an architecture that delivers converged network and security as service capabilities including SD-WAN and cloud native security functions such as secure web gateways, cloud access security brokers, firewall as-a-service, and zero-trust network access. SASE delivers wide area network and security controls as a cloud computing service directly to the source of connection rather than at the data centre which will protect your network and users more effectively.
If you haven’t already, extending your SD-WAN connectivity consistently across multiple clouds to automate cloud-agnostic connectivity and optimise the application experience is a must. It will enable your organisation to securely connect users, applications and data across multiple locations while providing improved performance, reliability and scalability. SD-WAN also simplifies the management of WANs by providing centralised control and visibility over the entire network.
As we head towards the new era of AI, cloud is the new data centre, Internet is the new network, and cloud offerings will dominate applications. By making sure your network is AI ready, by adopting a cloud-centric operating model, having a view of global Internet health and the performance of top SaaS applications, IT teams will be able to implement their company’s AI strategy successfully.