AI Integration Dominates : Insights From the ABBYY Perspective

The Year of AI is finally here

Neil Murphy

February 01, 2019

In this blog post, which first appeared in UKTech News , ABBYY’s global VP Neil Murphy predicts a watershed moment for AI adoption in 2019. Here are his six AI predictions everyone should read.

1. In 2019, AI will move out of the boardroom and into the enterprise

2019 will see AI move from a top-level discussion to start impacting on day to day work in businesses of all shapes and sizes. But this requires one thing of businesses: incorporating their AI and data strategies.

Data is most organizations’ biggest asset, and applying AI to data will enable businesses to gain insights from their data through content intelligence across a range of functions. In operational functions such as HR and finance we can already see automation and AI start to have an impact – by the end of 2019, we estimate that 60% of businesses will have combined their data and AI strategies in the finance function.

But the opportunity is also ripe elsewhere, such as in marketing and sales, where an AI-driven data strategy can transform the customer acquisition process , and in customer service, where customer experiences will be improved beyond recognition.

2. A third of organizations adopting AI will hire more IT staff in the next 6 months to keep up

The need for specialized skills to work with AI and automation technologies will drive a huge hiring spree in 2019 across the world – in Europe and the US, one in three businesses will need to hire more employees in their IT departments to accelerate their tech offerings in 2019.

Across industries from manufacturing and healthcare to non-profits, government, and financial services, the biggest challenge will be the same: upgrading their IT infrastructure and replacing legacy systems without failing on their digital transformation efforts. In order to achieve this, businesses will need to invest time and money into sourcing the best talent with the best skills for the job, or risk falling behind the competition.

3. AI will become more customer-facing – and we’ll know about it

In certain industries, 2019 will see AI move out of the darkness and into the light for consumers thanks to improved mobile experiences. We predict that 70% of banks will have started to digitally transform their onboarding process to include AI in a customer-facing role.

Bringing intelligent extraction into back end systems will enable digitally-savvy banks to make communications on their apps more cognitive and more contextual. Chatbots, for example, use this technology to bring AI directly to the consumer by providing immediate feedback that crucially doesn’t appear to have come from a bot. Only AI can provide truly intuitive onboarding for new customers who expect a seamless digital experience, and in 2019, banks will react to this by reaching into their pockets.

4. One in ten startups will use robots for customer interaction in 2019

Our 2018 research found millennials are increasingly likely to delegate speaking to customers to robots, and are much more inclined than their older counterparts to use robots for customer-facing tasks. 1 in 6 millennials hates speaking to customers, compared to less than 1 in 20 over-55s, which could explain why so many companies have not yet adopted AI for customer interaction.

However, the growing number of millennial-led startups will use technological advancements in AI and robotics to start delegating these tasks to robots in 2019, from fintechs to online marketplaces to technology providers.

5. Older employees will become more inclined to automate

As business leaders (and their HR departments) will spend lots of time and energy selling automation internally in 2019, older employees – who our research found are much less inclined to automate part of their jobs – will start to buy into automation.

Our research found that over 55s are much more likely than millennials to prioritize mundane tasks, such as electronic filing and maintaining databases, that are easy and practical to automate. Thus, we can expect to see older employees start to hand over these tasks to automation, as their relationship with AI strengthens.

By the end of 2019, we think that half of older workers will begin to turn to automation for the tasks they know can be carried out by robot colleagues.”

6. RPA will become mainstream – but you’ll need to up your data capture game

In 2019, CIOs and IT leaders will realize that to truly benefit from the impact of RPA on their business, they need to massively improve their capture capabilities. RPA and data capture work better together – the bangers and mash of enterprise IT. Together they can help solve the biggest challenges facing AI-adopting IT departments – how to improve the quality of data, and how to use this data to bring the most benefits to the business.

Learn more about ABBYY technologies and trends.

Robotic Process Automation (RPA) Artificial Intelligence (AI) Digital Transformation Customer Experience Mobile Enterprise

Neil Murphy

Vice President, Global Channel Chief at ABBYY

Neil Murphy is Vice President, Global Channel Chief and in his role now responsible for expanding the company’s business globally after his role as UK head. Neil’s deep experience working with data capture, cognitive understanding and process automation technologies derives from a multitude of strategic roles at leading organisations such as Kodak Alaris and now ABBYY. While at Kodak Alaris, Neil was responsible for the start-up and development of AI Foundry in EMEA, a technology start-up within Kodak Alaris focused on the AI and RPA markets.

Over the years, Neil has worked with a variety of industry sectors ranging from Finance, Insurance, Healthcare to Government focusing on transforming their legacy approach to back and front office processes such as Accounts Payable, customer onboarding, and consumer loyalty programmes to name a few.

First name*

E-mail*

Сountry*

СountryAfghanistanAland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBritish Virgin IslandsBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongo (Brazzaville)Congo, (Kinshasa)Cook IslandsCosta RicaCroatiaCuraçaoCyprusCzech RepublicCôte d’IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland Islands (Malvinas)Faroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard and Mcdonald IslandsHoly See (Vatican City State)HondurasHong Kong, SAR ChinaHungaryIcelandIndiaIndonesiaIraqIrelandIsle of ManIsraelITJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea (South)KuwaitKyrgyzstanLao PDRLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacao, SAR ChinaMacedonia, Republic ofMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesia, Federated States ofMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNetherlands AntillesNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorthern Mariana IslandsNorwayOmanPakistanPalauPalestinian TerritoryPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRwandaRéunionSaint HelenaSaint Kitts and NevisSaint LuciaSaint Pierre and MiquelonSaint Vincent and GrenadinesSaint-BarthélemySaint-Martin (French part)SamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint Maarten (Dutch part)SlovakiaSloveniaSolomon IslandsSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSurinameSvalbard and Jan Mayen IslandsSwazilandSwedenSwitzerlandTaiwan, Republic of ChinaTajikistanTanzania, United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States of AmericaUruguayUS Minor Outlying IslandsUzbekistanVanuatuVenezuela (Bolivarian Republic)Viet NamVirgin Islands, USWallis and Futuna IslandsWestern SaharaZambiaZimbabwe

I have read and agree with the Privacy policy and the Cookie policy .
I agree to receive email updates from ABBYY Solutions Ltd. such as news related to ABBYY Solutions Ltd. products and technologies, invitations to events and webinars, and information about whitepapers and content related to ABBYY Solutions Ltd. products and services.

I am aware that my consent could be revoked at any time by clicking the unsubscribe link inside any email received from ABBYY Solutions Ltd. or via ABBYY Data Subject Access Rights Form .

Referrer

Last name

Query string

Product Interest Temp

UTM Campaign Name

UTM Medium

UTM Source

ITM Source

GA Client ID

UTM Content

GDPR Consent Note

Captcha Score

Page URL

Connect with us

Discover Alternatives

AI Integration Dominates : Insights From the ABBYY Perspective