29 Jul 2021

Memiliki pengalaman dalam jaringan untuk masa depan Teknologi Informasi

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Cara lama yang berpusat pada jaringan dalam mengoperasikan jaringan tidak dapat mengimbangi melonjaknya jumlah aplikasi, pengguna, dan perangkat dalam suatu organisasi. Jadi, tidak mengherankan jika AI kini mendukung jaringan yang mengutamakan pengalaman bagi pengguna dan operator dan dalam prosesnya, mengurangi biaya, meningkatkan efisiensi, dan meningkatkan kepuasan pengguna akhir.

Ini benar apakah Anda perusahaan ritel yang mempertahankan pengalaman mereknya dengan konsumen, sekolah yang memastikan siswa dan guru mereka senang, atau perusahaan yang memastikan karyawan yang bekerja di lingkungan kerja campuran, di rumah atau di tempat, memiliki pekerjaan yang dapat diprediksi, andal, layanan terukur yang membuat mereka lebih produktif.

Jadi, apa yang membuat operasi berbasis AI, atau AIOps, penting bagi para pemimpin TI? Dan bagaimana hal itu memperkuat pendekatan yang mengutamakan pengalaman?

Tantangan
Strategi bertenaga AI lebih penting dari sebelumnya karena tuntutan pada departemen TI terus berkembang. Di luar pandemi, ada pertumbuhan astronomis dalam perangkat, aplikasi, dan sistem operasi. Dalam pergolakan pandemi, ada kebutuhan mendesak untuk menawarkan pengguna kemampuan untuk bekerja di mana saja.

“Sekarang rumah semua orang telah menjadi kantor cabang,” kata Aaron. “Bagaimana Anda memberikan jaringan dan keamanan yang andal dan dapat diprediksi ke semua lokasi ini?” Dan itu akan tetap menjadi masalah bahkan setelah pekerja kembali ke kantor karena pandemi telah mengakar dalam situasi kerja dari mana saja.

Tantangan besar kedua adalah membawa pekerja kembali dengan selamat. TI sekarang perlu bekerja bahu-membahu dengan fasilitas untuk menanamkan perencanaan pandemi sebagai bagian dari pemulihan bencana. Ada pertimbangan praktis — apakah Anda mempertahankan lingkungan tempat duduk terbuka, atau menjaga jarak? Apakah pekerja diundang berbondong-bondong, atau haruskah Anda pindah ke lingkungan hotel, di mana orang dapat memesan kursi saat mereka muncul?

“Semua itu memengaruhi jaringan Anda, nirkabel Anda, dan hal-hal seperti layanan lokasi,” katanya. “Dan bersiap untuk skenario terburuk, jika situasi serupa lainnya memerlukan pelacakan kontak, jarak sosial, peringatan karyawan, dan banyak lagi. Itu norma baru. Itu harus direncanakan.”

Di mana AI masuk
Mengingat tantangan ini, kepala departemen TI menyadari bahwa mereka perlu lebih fokus pada pengalaman pengguna ujung ke ujung. Ini bukan hanya tentang jaringan lagi, tetapi tentang pengguna dan pengalaman seperti apa yang mereka miliki di jaringan itu.

AIOps membuat pemeliharaan dan pemantauan lebih otomatis, memberikan wawasan yang lebih baik tentang pengalaman pengguna dan kemampuan yang lebih besar untuk mengambil tindakan proaktif.

Dengan otomatisasi, wawasan tentang pengalaman pengguna Anda terus terlihat. Saat Anda dapat mengumpulkan 150 status pengguna dari setiap klien seluler, setiap dua detik, Anda tahu persis apa yang terjadi dengan setiap pengguna. Dan saat data tersebut dimasukkan kembali ke dalam platform, Anda dapat terus mengoptimalkannya. Anda berada dalam posisi utama untuk mengambil tindakan saat anomali atau pola terdeteksi, kemudian memberikan rekomendasi kepada operator, sehingga mereka dapat secara proaktif melakukan tindakan sebelum pengguna mengetahui ada masalah.

AIOps juga merupakan alat yang sangat berharga untuk dukungan pengguna. Idealnya, Anda ingin menyelesaikan masalah sebelum pengguna harus menelepon atau membuat tiket, tentu saja. Tetapi jika mereka memang harus menelepon, solusi AI dapat membantu mendeteksi dan menyelesaikan masalah lebih cepat untuk meminimalkan sumber daya TI yang diperlukan.

Pertimbangkan antarmuka percakapan AIOps Marvis, asisten jaringan virtual Juniper yang digerakkan oleh Mist AI. Daripada menyisir seribu log peristiwa di seribu sistem untuk menentukan solusi untuk masalah pengguna, tim TI yang menggunakan Marvis dapat menggunakan kueri sederhana seperti, ‘Apa yang salah dengan koneksi Jeff kemarin?,’ dan mengembalikan jawaban yang dapat ditindaklanjuti – ‘Itu adalah masalah nirkabel, dan inilah cara memperbaikinya.’

Asisten AI dapat menyimpulkan maksud di balik pertanyaan dan memberikan hasil yang dapat ditindaklanjuti berdasarkan basis pengetahuannya, dengan kueri interaktif untuk menelusuri lebih lanjut berdasarkan langkah selanjutnya yang disarankan. Dan asisten terus belajar berdasarkan umpan balik dari pengguna. Dibangun dengan API terbuka, tim dapat mengintegrasikan platform dengan sistem TI mereka saat ini dan mengotomatiskan jaringan.

“Anda dapat berargumen bahwa AIOps dan asisten jaringan virtual meminimalkan kebutuhan akan dasbor, seperti yang dilakukan dasbor untuk CLI,” kata Aaron. “Di situlah industri bergerak.”

Solusi di dunia nyata
Juniper Networks adalah yang pertama menyadari bahwa model layanan TI harus berubah, kata Aaron. Mist AI menghadirkan wawasan dan otomatisasi Self-Driving Network™ untuk mengoptimalkan pengalaman pengguna end-to-end dan meminimalkan biaya TI di seluruh LAN, WLAN, dan WAN.

“Cara reaktif lama dalam melihat jaringan yang diperlukan untuk mengubah ke yang lebih proaktif, otomatis, dan fokus pada pengguna,” katanya. “Kami merancang solusi kami dari bawah ke atas untuk melakukan itu.”

Dia menunjuk pada kasus ServiceNow, sebuah perusahaan SaaS yang ingin menghilangkan semua tiket masalah yang dibuat oleh pengguna. Secara khusus, mereka ingin dapat mendeteksi dan menyelesaikan masalah Wi-Fi sebelum pengguna mengetahuinya, karena mereka mendapatkan lebih dari 100 keluhan per bulan. “

Begitu mereka menempatkan Juniper dengan AI dan AIOps, mereka menghilangkan lebih dari 90% tiket masalah yang dibuat pengguna. Mereka sekarang turun menjadi satu atau dua per bulan dan itu sangat besar, ”katanya. “Itu menunjukkan kepada Anda kemampuan otomatisasi proaktif dan wawasan serta tindakan bila diterapkan dengan benar.”

Dan Dartmouth College menggunakan Juniper Networks untuk akses nirkabel yang lebih andal di mana pun siswa mereka berkeliaran, dengan meja bantuan yang dipimpin oleh mahasiswa pascasarjana yang tidak terlalu paham teknologi. Dengan dapat memberikan asisten jaringan virtual kepada pekerja siswa mereka yang dapat menjawab pertanyaan bahasa alami dan mengembalikan solusi, departemen TI Dartmouth College dapat fokus pada hal-hal yang lebih strategis daripada hanya menjawab panggilan sederhana.

Keuntungan Mist AI Mist
menghadirkan jaringan berbasis AI pertama hampir lima tahun yang lalu, lahir dari kebutuhan untuk menggabungkan otomatisasi jaringan dengan wawasan untuk pengalaman pengguna yang luar biasa.

“Secara internal kami sering mengatakan bahwa Mist AI adalah bahan bakar roket yang meningkatkan standar pada apa yang mungkin terjadi di semua aspek perusahaan yang digerakkan oleh AI,” kata Aaron, “dan kami terus memperluas seluruh portofolio Juniper dan membawa semuanya ke bawah payung AI Mist yang umum.”

Untuk mengalihkan fokus dari perilaku jaringan dan aplikasi ke pengalaman pengguna yang sebenarnya, mereka baru-baru ini memperkenalkan Juniper Mist WAN Assurance untuk menghadirkan wawasan berbasis AI untuk WAN dan cabang ke solusi SD-WAN Juniper.

Layanan berbasis cloud ini mengalirkan data telemetri utama dari perangkat Juniper SRX ke mesin Mist AI di cloud untuk mengaktifkan tingkat layanan WAN yang dapat disesuaikan yang digunakan untuk mengoptimalkan pengalaman pengguna. Ini mampu mengkorelasikan peristiwa di LAN, WLAN, dan WAN untuk isolasi dan resolusi kesalahan yang cepat di semua domain, dan memungkinkan tindakan proaktif sebagai hasil dari deteksi anomali dengan alur kerja otomatis, dengan fokus pada jaringan self-driving sepenuhnya dari klien ke cloud .

Ini, bersama dengan Asisten Jaringan Virtual Juniper Mist dan antarmuka percakapan Marvis, membantu administrator TI untuk mengatasi masalah jaringan, aplikasi, dan pengguna dengan lebih gesit; tindakan korektif direkomendasikan atau diambil secara otomatis untuk menyelesaikan masalah secara real time, seringkali bahkan sebelum pengguna menyadari adanya masalah.

“Tujuan kami adalah agar 80% dari semua tiket masalah dijawab oleh asisten jaringan virtual kami,” kata Aaron. “Kami cukup dekat dengan itu. Itu hanya belajar dan menjadi lebih baik dari waktu ke waktu.”

“Akan ada hari di mana sebagian besar masalah tiket dapat ditangani oleh AI,” tambahnya. “Mist AI adalah yang menyediakan otomatisasi, wawasan, tindakan di seluruh domain kabel dan nirkabel dan SD-WAN kami.” 

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